Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. ... " Informal Relationships in the W orkplace: Associations with Job Satisfaction, OrganIsational Commitment and Turnover Intentions / A thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy In Psychology at Massey University, Albany, New Zealand. Rache1 Kathleen Lopes Morrison / . . -- . ---_ . . -- _ . . . . -- " 'iiliil l ii� 1 il iil ill /111 iiil� 1061756820 2005 1 Abstract Abstract The aim of this thesis was to develop and test a theoretical model of friendships in the workplace. Friendships within organisations may have it profound effect on an employee's experience of work, pofentially either hindering or facilitating organisational functioning, yet friendships have seldom been studied in an organisational context. The association between friendships at work and organisational outcomes such as job satisfaction, organisational commitment and turnover intentions were investigated in three studies, assessing support for a theoretical model. In the first study, employees of a large Auckland hospital I (n = 124) were surveyed using a written questioIUlaire. Results indicated that cohesiveness and opportunities for friendship were related to increased job satisfaction, leading to increased organisational commitment and decreased turnover intentions. The actual prevalence of friendships was primarily related to decreased turnover intentions. Overall there was good support for the proposed model. The need for further research to ascertain the generalis ability of the findings was highlighted. A second study was conducted using an Internet based questionnaire, accessed both from within New Zealand and worldwide. A diverse sample of employees responded (n = 412). The analysis (structural equation modelling) indicated further support for most aspects of the model, suggesting that the fmdings are generalisable and the model is robust. The model of workplace relationships was cross-validated in a third study, confmning linkages between friendships at work and organisational outcomes. The model was then tested for inter­ group invariance. The model was invariant across groups reporting differing needs for affiliation, autonomy and achievement, but non-invariant across groups occupying relatively less or more interdependent jobs. Results suggest that the interdependence of individuals' jobs affects the salience of work friendships more than respondents' subjective needs. Overall, the research suggests that the presence of workplace friendships has a significant effect on several workplace variables, with the effect of friendships being more salient for individuals in interdependent work roles. The implications of the research findings are potentially far reaching. Not only do workplace friendships improve employees' experiences of work, but they also have the potential to affect the fmancial "bottom line" through factors such as enhanced organisational commitment, job satisfaction and reduced intentions to leave. ) Waitemata District Health Board, Auckland (NZ) 11 Acknowledgements Acknowledgements I would like to thank my supervisors, Stuart Carr and Richard Fletcher for their help, support and invaluable feedback during this process. I am also grateful to Massey University for awarding the doctoral scholarship that made this project possible. In addition, the Massey University psychology department provided a grant to assist in travel to London in 2004, where parts of this project were presented at the Fourth Annual Conference on Emotions in the Workplace (PhD forum). I would like to acknowledge Waitemata DHB, for providing access to staff, many of whom took the time to fill out the initial survey, which began this entire project. In addition, the thesis could not have continued without those who generously gave their time to respond to the Internet based survey. Finally I would like to thank my family and friends, particularly my husband Justin Lopes, for listening, supporting and understanding. Thanks also to Karren Towgood and Rhiannon Herrick for proofreading. Note: Parts of this thesis have been published in the New Zealand Journal of Psychology: Morrison, R. (2004). Informal relationships in the workplace: Associations with job satisfaction, organisational commitment and turnover intentions. New Zealand Journal of Psychology, 33(3), 1 1 4-1 28. Parts of this thesis have been published in The Bulletin: Morrison, R. (2004). Gender comparisons in workplace friendships. The Bulletin(102), 3 5-40. 111 Table 01' Contents Table of Contents Chapter 1: Introduction .....•................. . .........•....................•...............•.......................... 1 Chapter 2: Literature Review ............................••... � ...........•.......................................... 6 2.1 Where does this Project Sit Within Psychology? ........................................... 6 2 . 1 . 1 Social Psychology: A History of Friendship Research .. . . . . ... . . . . ....... . .. .. . . ... 6 2 . 1 .2 Organisational Psychology: A History of Human Factors Research .... . . . . . . 9 2 . 1 .3 The Current Research . . . . . . . . . . . ... . . . . . . . .. . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . .. . 1 2 2.2 What is it to be a Friend? ............................................................................... 14 2 .2 . 1 Friends Compared to Other Relationships .. . . ... ... . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . ... . . . . . 1 5 2.2.2 The Nature of Friendship . . . ... . . . . . . . . . . . ..... . . . . . . . . . ... .. . . . . . . . . . . .. . . . . . . . . . . . .. . . . .. . . . . . . . . 1 7 2.2.3 Gender Differences in Friendship . . . . . . . . . ... . . . . . . . . . ... ... . . . ...... .. ...... . . .... . . . . . . .. . . . 1 9 2.2.4 Why Do People Engage in Friendships? ... . . .. . . . . . . . . . . . . . .. . . . . . . . ... . . . . . . . . . . . . . . . . . . . 2 1 2.3 Relationships in a Workplace Context .......................................................... 24 2.3 . 1 Types of Organisational Peer Relationships . . . ..... . . . .. . . . ....... .... . . . . . .. . . . . . . . . .. . 25 2.3.2 The Informal Structure of Organisations .... . . . . . . . . . ... . . . . ... . . . . . .. . . . . . . . . . . . .. . . .. . . . . 29 2.3 .3 The Impact of Friendships in the Workplace . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . . . 3 1 2.3 .4 The Impact of the Organisation on Friendships ... . . . . . . . . . . . . ..... . . .. . . . . . . . . . . . . . ... 50 2.3 .5 Friendship Prevalence ........ . . . . . . . . . . . . . . . . . . ....... . . ..... . ... ...... ....... ... . . ....... . . . . . . . ... 57 2.3 .6 Gender Differences in Organisational Relationships .. .. . . ... . . . . .. . . . . ... . . . . . . . . .. 6 1 2.3 .7 Negative Relationships . . . . . . . . ... . . ...... . . . . . . . . . . . .. . . . ..... . . . . . . . .. . .. . . . . . . . ... . . ... . . . . . ...... 63 2 .3 .8 Blended Relationships: Friends as Work Associates ... . ......... . . . . .... . . . . . . . . . . . 66 Chapter �: Testing the Model in a New Zealand Hospital ......................•.......•......•.. 70 3.1 Introduction ..................................................................................................... 70 3.1 . 1 A New Zealand Hospital as a Setting for Organisational Research . . . . . . . . . . 70 3 . 1 .2 Research Questions .... . ................ . .... . ....... . . .-. . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . . . . . . ......... 72 .3 . 1 .3 Research Methodology . . . ..... . . .. . . . . . . ........ . . . . .. . . ... . ..... . . . ... . . ..... . ...... . .... . . ... .. . .. 73 3.2 Method .............................................................................................................. 74 3 .2.1 Participants .... . . . . . . . . . ...... ..... . . .. . . .. . ...... . .. . . . .. . . . .. .. . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. .. . .. . . . 74 3.2.2 Materials . . . . ...... .. . . ... .. . . . .. . . . .... � . . . . . ......... . . . . . ..... ... .. . ..... . ... . . . . . . ... . ... . .. . . . . . . . . . . . . . 75 3.2.3 Procedure ... . . . . . . . . . . .. . . ...... . ... . . . . ... . .. . . . ... ... ... . . . . ..... . . . . . . . . . . .. . .. . . . ... . . ... . ... . . . . . . . .. . . 82 iv Table of Contents 3.3 Analysis and Results ................................................................................•....... 83 3.3 . 1 Imputing Missing Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... . . . . . . ..... . . . 83 3.3.2 3.3.3 3.3.4 Factor Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . : . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . ... . . . . . . . . . . . . . 83 Path Analysis . . . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . . . . . ... ... . . .... . . .. . . . . . . . . 95 Peer Types . . . . . . . . . . . . . . . . . . . . . . . . ... . ........... . ...... . ...... . ... . . . . . . . ... . . . ... . . . . . . . . .... . . . .. . . . . . 1 03 3.4 3.4. 1 Discussion ... . .................................................................................................... 1 04 3.4.2 3.4.3 3.4.4 3.4.5 3.5 3.6 . Research Question 1 . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . .. ... . . 1 04 Research Question 2 . . . . . . . . . . . . . . . . . . . . . . . . : . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...... . . . 1 09 Research Question 3 . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 2 Job Satisfaction and Commitment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... . . . . . . .. . . . . . ... . . . . . . ... .. 1 1 4 Satisfaction/Commitment and Turnover . . . . .... . . . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . . . .... . . 1 1 5 Limitations of the Study and Directions for Future Research ........... ....... 115 Conclusions and Implications ...............................................................•.....•. 117 Chapter 4: Internet Study ......................................................................................... 120 4.1 Introduction ................................................................................................... 120 4. 1 . 1 Gender Differences in Friendships . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . . ... 1 2 1 4.2 Method ....................................................................................................•....... 122 4.2 . 1 Participants . . . . . . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . .. . . . . . . ........ .. . . . . . .... . .. . . . . . . .. 1 22 4.2.2 Materials . . . . . . . . . . . . . . . . . . . . . ... . . . . . . . . .................... ........... . . . .... . . . . . . . . .... . . ... . . . . . . . . ... 1 24 4.2.3 Procedure . . . . . . . . . . . . . . . . . . . .. . . . . . . . .. . . . . . . . . . ... . . . . . . . . . . . . . ... . .. ... . . . . . . . . . . . .. .. . . . . . ... ....... ... 1 24 4.3 . Analysis and Results ...........•...........................................•................•....•.......• 125 4.3.1 Factor Analysis .. . ... . . . .... . . . . . . .... ·. . . . . . . ...... . . . ... ... . .... ... . . . ... . . . .......... .. . . . . .......... 1 25 4.3.2 Building the Causal Model.. .. . . ... . . . . . . . .... . . . . . ... . . . . . ........ .. . . ..... . ... ..... . . ....... . . 1 43 4.3 .3 Statistical Significance of the Model.. . ... ... . . . . . ... . . . ... .... ... ......... . . .... ..... .. . . . 1 45 4.3 .4 Other Research Questions .. ..... ... . . .... . .. .. . . . . . . . . ........ . . . ... ... . . ........... ... . .... . . .. 1 49 4.4 Discussion ....................................................................................................... 152 4.4.1 Resume of Findings . . . . . . ... . . . . ... . . . . . . . . .. . . . ... ... ... . . . . .. . . . . . .... .. . . . . . ...... ... . . ...... . ... 1 52 4.4.2 Links to Existing Research . . . . . . . . . . . . ... . . . . . . . . . . . ...... . .... . ... . . . . . ..... . . .............. ... 1 57 4.5 Limitations of the Study and Directions for Future Research ................•. 162 v Table of Contents 4.6 Conclusions and Implications .............................. � ........................................ l63 Chapter 5: Cross-Validating the Causal Model and Testing for Invariance Between Sub-groups Differing in Need Strength and Interdependence of Job ......................... 165 5.1 5 .1.1 5 . 1 .2 5.2 5 .2.1 Introduction ................................................................................................... 165 Needs for Affilia�ion, Autonomy and Achievement . . . . . .. . . . . .. . . . .... . . . . ... . ... 166 Interdependence of Work Role . . . .. . ..... . . . . . . . . . . . . . . . . . . . . . . ... . . . . . . . . . . . . . . . .... . . . ... . . . 1 71 Method ............................................................................................................ . 174 Participants . . . . ..... ..... ... . . . . . . . . . . ... . . .. . . . . ... .. . . . . ... . . . ..... . . ... . . . . . . . . . . . . . .... . . . . . . .... . . . . 174 5 .2.2 Materials . . . . . . . . . . . ... . . .. . . ... .. . ... . . . . . . . . . .. . . . . . . ... . . ... . .. . . . . . . . .... . . . . . ........ . . . . . . . ... . . . . ... 175 5 .2 .3 Procedure .. . .. . . . . . . . . . . . . . . ... . . ... . . . . � . . ... . . . . .. . . .. .. . . . . .. . . .. . .. . . . .. . . . . . . ... . . . . . . .. . . . ... . . . . . . . 178 5.3 Analysis and Results ...................................................................................... 179 5 .3 . 1 Measurement Models of the Scales . . . . . . ... . . . . . .... .. . . . .. . . ... . . . . . . . . ... . .. . . . . . . . . . . . . . 180 5 . 3 .2 Model ofWorkplace Relationships . . ... . ..... . . . . . . . . . . . . . . .. ..... . . . . . . . . . . . . . . . ...... . . . . 180 5 .3 . 3 Comparing Groups . . .. . . . . . . . . . .. ... . . .. . . . ... . . . . . .. . . . . . . ..... . . ... . .. . . . .... .. . . . . . .... . .. . . . .... 182 5.4 Discussion ....................................................................................................... 189 5.5 Conclusion ...................................................................................................... 190 Chapter 6: Synthesis and Implications ..................................................................... 192 6.1 Summary of Major Findings ........................................................................ 192 6. 1 . 1 Hospital Study ... . . . .... ... ..... . . . . . . .. .. . . . . . . . . . . . . . . . . . . . .. . . . ... . . . . ... . . . ... . ... . . .. . . . . .. . . . . . . . 192 6. 1 .2 Internet Study . .. . ... .. . .... . . . . ... . ... ... . . . ... . .... . .. . .... ... . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . .... . . ... 194 6.1 .3 Invariance Testing Study . . ... . . . . . .. . .. ..... . . . . . . ... . . . . . .... . . . . . ... . . . . . . . . . . ... .. .... . . ..... . 195 6.2 Synthesis ......................................................................................................... 196 6.2 . 1 Friendship Opportunities versus Friendship Prevalence . . . . .. . . . . . . . . . . .... . .... 196 6.2.2 Interdependence of Work Role versus Individual Differences in Needs 198 .6.2.3 Gender Differences . . . . . . . . . . . . . .. . . . . . .... . . . . . . . . ... .... . ... .. . . ... ... . . . .... ........ . . . . . ...... ... 199 6.3 Future Directions ........................................................................................... 202 6.3 .1 Performance ... ...... . . . .. . .......... . .. . . . . . . . . . . . ..... . . . . .... ... . . ... . . . . . . . . ... . . .... . . . . . . . . . .. .. ... 202 6.3 .2 Negative Relationships . . . ... ... . . . . . . . . .. . . . .. .... . . . . .... . . . ... . . . .. . .. . . . . : . . . . . . . . . . .. . . . ... . . . 202 6.3.3 Organisational Identity and Attributions of Responsibility .. . ... . . . . . . . ... .... 203 VI Table of Contents 6.4 Implications .......................................................... � ......................................... 207 6.4. 1 Enhancing the Quality of Work Life . . . .. . . . . ... . . . . ..... . . . . . . . . . . . .. . . . . . . . . . . . . . .. . . . . . . 207 6.4.2 Situations Where the Findings Might have More Relevance . . . . . . . . . . . . . . . . . . 209 6.4.3 Possible Negative Implications . . . . . ... . . . . . . . .... . . . . . . . . ... . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . 2 1 0 6.5 Conclusion ......................................................................... . . . . . . . . . .................... 2 12 References ........................................................................................................................ 213 Appendices ...................................................................................................................... 232 Appendices for the Literature Review (Chapter 2) ................. . . . . . . . . . . . . . . .. .. . ............ 232 Appendices for the Hospital Study (Chapter 3) . ...... .. . . . ............ . . . . . . . . . . ................... 236 Appendices for the Internet Study (Chapter 4) . .. .... . . . . . . ............. . . . . . . . . .. .. . . . . . . . . . . ...... 266 Appendices for the Invariance Testing Study (Chapter 5) .................................... 294 vu List of Tables List of Tables Table 1 : Demographics of Respondents of the Hospital Study ...................................... 75 Table 2: First Pattern Matrix of the Factor Analysis of the Friendship, Cohesion and Dual Role Tension Measures (items to be removed are shaded in grey) ................ 86 Table 3: Final Pattern Matrix of the Factor Analysis of the Friendship, Cohesion and Dual Role Tension Measures .................................................................................. 88 Table 4: First Pattern Matrix of the Factor Analysis of the Satisfaction, Commitment and Leaving Intention Measures (items to be removed are shaded in grey) ........... 9 1 Table 5: Final Pattern Matrix of the Factor Analysis of the Satisfaction, Commitment and Leaving Intention Measures .................................. ........................................... 93 Table 6: Correlations between Measured Variables: Hospital Study ............................. 94 Table 7: Showing Critical Ratio (C.R.) Values (parameter estimate divided by standard error) of the Regression Paths in Model 1 ............................................................... 96 Table 8: Showing Critical Ratio Values (parameter estimate divided by standard error) of the Regression Paths in Model 1 When Specified with Non-Significant Regression Paths Removed ..................................................................................... 97 Table 9: Demographic Data for the Internet Study ...................................................... 1 22 Table 1 0: Industry of Respondents ........................................................................ ....... 1 23 Table 11: Initial Pattern Matrix for the Workplace Friendship Scale (items to be removed are shaded in grey) ................................................................................. 1 28 Table 12 : Final Pattern Matrix for the Workplace Friendship Scale ........................... 1 28 Table 1 3 : Initial Pattern Matrix for the Job Satisfaction Scale (items to be removed are shaded in grey) ...................................................................................................... 1 3 1 Table 14: Final Pattern Matrix for the Job Satisfaction Scale ...................................... 1 3 1 Table 1 5 : Pattern Matrix. for the Cohesion Scale ......................................................... 1 3 7 Table 16: Initial Pattern Matrix for the Needs Assessment Questionnaire (items to be removed are shaded in grey) ................................................................................. 1 40 Table 1 7: Final Pattern Matrix for the Needs Assessment Questionnaire ................... 1 40 Table 1 8 : Fit Indices for the Measurement Models: Internet Study ............................. 1 42 Table 1 9: Correlat�ons between Measured Variables: Internet Study .......................... 1 43 Table 20: Alpha Levels of the Sub-Scales ................................................................... 1 43 viii List of Tables Table 2 1 : Showing Critical Ratio Values (parameter estimate divided by standard error) ofthe Regression Paths in Model 2 When Specified with Non-Significant Regression Paths Removed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . : . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 Table 22: Fit Indices for the Causal Model: Internet Study ........... .. . . .. . . . . . . . . . . . . . . . . . . . . . . . . 148 Table 23 : Correlations between Subscales, Showing those where Measured Variables are Differentially Correlated for Men and Women . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . .. ... . .. .. .. . 149 Table 24: Independent Samples T-test, Comparing Respondents With and Without Negative Relationships at Work . . . . . . . . .. . . . . . . . . .. . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1 Table 25 : Hypothesised Relationship between Occupation, Affiliation Opportunities and Opportunities to Acquire Career Capital. . . . . . .. . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 7 1 Table 26: Breakdown o f Demographic Data for Respondents to Cross-validation / Invariance study .................................................................................................... 175 Table 27: Needs Assessment Questionnaire Items Used in the Current Study . . . . . . . . . . . . 1 77 Table 28 : Fit Indices for the Measurement Models (n = 445) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 80 Tcibie 29: Fit Indices for the Causal Model : Based on the Full Sample (n = 445) . . . . . . 1 8 1 Table 30: Chi-Square Statistics for Tests of Invariance across Sub-groups of the Sample .......................... � ... ................... ...... ..................... . .......................... ... ... .......... ........ 1 82 Table 3 1 : Goodness of Fit Statistics for Tests of Invariance Across Those in Relatively Less and More Interdependent Jobs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 84 Table 32: Goodness of Fit Statistics for Tests of Measurement Model Invariance Across Those in Relatively Less and More Interdependent Jobs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 86 Table 33: Showing Correlation Coefficients and Critical Ratio Values (parameter estimate divided by standard error) of the Correlation Between the Cohesion (Social Support) and Friendship Opportunity Variables for High and Low Interdependence Groups . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 88 Table 34: Goodness of Fit Statistics for the High and Low Interdependence Groups. 1 89 ix List of Figures List of Figures Figure 1: Showing the hypothesised relationship between friendship opportunities and job satisfaction . . . : . .. . . . . . . ........ . . . . .. . . .. . . . .. . . . . . .. . ..... .. ... ... . . .. . .. . ..... . ....... ................ ........... 3 8 Figure 2: Showing the hypothesised relationship between job satisfaction and organisational commitment . . . . . . .. . . . . . . . . . .. . . ... . . . . .. . . . . . . .. . . . . . . . . . . .. . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . .. .. 42 Figure 3: Showing the hypothesised relationship between friendship opportunities, job satisfaction and organisational commitment .. . . . . . . . . . . . . .. . . .. . . . . . . ... ... . . . .. . .. . . . . . . . . . . . . . . . . . . . 46 Figure 4: Showing the hypothesised relationship between job satisfaction, commitment and intention to leave . .. .. . . . . . .. . .. . . .. . . . . . .. . . . . . . . .. ... .. .. .. ........ . . .... ... . . . . . . . . .. . .. .. ... . .. . .. . .. . . . . . . 48 Figure 5: Showing the hypothesised relationship between friendship opportunities and cohesion ... .. . . . ......... ...... . . . . . . . . . . . . . . . . ..... . .. .. .. . . . . . . . . . . . . . . . . . . .. . . . . . .. . . . . .. . . .. . .. . . .. .. . . . . . . . . . . . .. . . . . . 54 Figure 6: Showing the hypothesised relationship between cohesion and intention to leave . . . . ... . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . .... . . 56 Figure 7: Showing the hypothesised relationship between cohesion and organisational commitment and job satisfaction . ..... ... ... . ... .. . . .. . . . . . . . . . . . . . . . . .. . . .. . . .. . . . ... ...... . . . . . . . . . . . . . . . . . 57 Figure 8: Showing friendship prevalence as the result of increased friendship opportunities and cohesion . ..... .... . . ..... . ... ....... ...................... .................... ..... . .. . .. . .... 58 Figure 9: Showing the hypothesised relationship between friendship prevalence and intention to leave . . . . . . . . . ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... . . . .... . . .. .. . . . . . . . . . . . .. ... . . . . . . . . . . ... . . . . 60 Figure 1 0: Showing negative relationships added to the model. . . . . ... ... . . . . . . . .. . . . . . . . . . . . . . . . . . 66 Figure 1 1: Showing the hypothesised moderating effect of dual role tension (Model 1 ) ................................................................................................................................. 69 Figure 1 2: Path analysis of Model 1 .. .. . ... ...... . .. . . . . . . ... . ..... .. . . . .. .. . . ... .. . . ..... . .... . . .. . . . . . . . . .. . . . . . 98 Figure 1 3: Path from friendship opportunities and cohesion to organisational commitment . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 Figure 14: Path from job satisfaction and organisational commitment to intention to leave . ... ... .. . . . . .. .... . . . . . . . . . . . . . . . . .. ... .. . . . .. . .. .. . .. ..... .. .. . . ... . . . . . . . . . . . .. . . ... . ... .. ..... .... ... . . . . . . . . . . . . . . 1 00 Figure 1 5: Path from friendship opportunities and cohesion to friendship prevalence 1 00 Figure 1 6: Path from cohesion to intention to leave .. . . . . . . . . .. . . . .. .. . ... .. .. . . . ... . .. . . . . ... . . . . . . .. . 1 0 1 Figure 1 7: Path from friendship opportunities to intention to leave . . . . . . . . . . .. . . . . .. .. . .... ... 1 02 x List of Figures Figure 18: Model 1 redrawn showing only the significant regression weights (Hospital Study) .................................. .................................................................................. 103 Figure 19: AMOS diagram for friendship scale .......... : .............................................. .. 130 Figure 20: AMOS diagram for the job satisfaction scale ... . . ........... .. .. .................... . .... 133 Figure 21: Scree plot for Organisational Commitment Questionnaire ........... ........... . .. 134 Figure 22: AMOS diagram for the Organisational Commitment Questionnaire ......... 136 Figure 23: Scree plot for the cohesion scale ......................... ....................... ....... .......... 136 Figure 24: AMOS diagram for cohesion scale ............ ................................. ..... ........ . .. 13 8 Figure 25: AMOS diagram for the Needs Assessment Questionnaire ........... .............. 141 Figure 26: The causal model tested for the Internet Study (latent variables only) . ..... 144 Figure 27: Model 2, SEM results of Internet Study .......................................... ...... ..... 146 Figure 28: Results of SEM analysis of the theoretical model. Values represent standardised estimates and correlations based on the full sample (n = 445) . .. . .... 181 Figure 29: The hypothesised mediating effect of identification and attribution, on the relationship between friendship prevalence and job satisfaction . .................. .. . . . .. 205 Figure 30: Alternative hypothesised mediating effect of identification and attribution, on the relationship between friendship prevalence and job satisfaction . ........ . . . . .. 206 .. . '\.! ' , ' Xl Introduction Chapter 1 : Introduction "Wit!iout friends, no one wouU c!ioose to five. " -JIristotCe- The above quote suggests that, for many people, friendships are essential in creating a sense of well-being and happiness . Friends who share our interests, enjoy our company and value our ideas, enrich our lives; they provide comfort, support and help in times of need (Venieg� & Peplau, 1 997). Close friendships often evolve fr�m existing formal relationships in work places, and for many people, these relationships are maintained within organisational settings. Yet, despite the frequency of these relationships, we know very little about how dual friendship/work relationships function, and how the blurring of relational boundaries might affect organisational functioning, the enjoyment of work, and perhaps even performance. This research focus was developed partly as an outcome of conversations with friends and acquaintances who had experienced a great deal of tension in the workplace as a result of the breakdown of personal relationships. Others mentioned stress as a result of "being on the out," being excluded by a dyad-with whom they still had to work. On the other hand, people spoke of how absolutely fundamental their friendships at work were to their enjoyment of work, to their satisfaction with their job, and to their desire to remain in their present employment. 1 Introduction Workplace relationships can profoundly impact people's experience of work, both negatively and positively. This impression was reinforced by the response received to an article about my research into workplace friendships, which appeared in the New Zealand Herald (Middleton, 2002). The following are excerpts of emails from people who wrote to me. This was from a woman who told her employers she was leaving her place of work because she felt limited and had no room to grow or develop in her job: " . . . but truth be told I no longer wanted to work for a company where I couldn' t make friends. To spend 8 hours a day (minimum) at a place where you do not have close relationships with any. of the staff (regardless of whether you enjoy your actual job or not) is a very sad thing in my opinion. I am now looking for a role with a smaller more stable company where I. can not only continue to enjoy the actual work I do but also hopefully enjoy the company of my workmates in a more trusting friendly environment" (T. D. Feb, 2002). The following quote was from an employee who described difficulties associated with her recent change of job: "The first year was a horrendous time. I hated - not so much the actual job, but the feeling of isolation from not having any friends in my new job. I actually longed to return to my previous job, just to be with my previous co-workers, whom I missed terribly. This was in spite of the fact that I was earning less money in the previous job" (D.C. Feb, 2002). The woman who wrote the quote below chose to leave her job primarily because of the lack of informal relationships and friends in her former workplace: 2 Introduction "I have recently left a job where the staff were not encouraged to talk to each other while at work. They did not sit together at lunchtime and did not have tea breaks. The atmosphere was just terrible" (D.D. Feb, 2002) . . A Human Resource manager wrote as well, commenting that: " . . . those who develop a friendship with equal colleagues and interact with them socially out of work have tendency to remain loyal to the company" (B.O. Feb, 2002). In addition to this anecdotal evidence, which indicates that individuals make employment decisions based on the quality of their relationships at work, research has also indicated that organisations too, prefer that their employees work well together. An American study by Lozada ( 1996) found that 90 percent of dismissals are the result of poor attitudes, inappropriate behaviour and difficulties with interpersonal relationships rather than deficient technical skills. The finding that people are so often dismissed for reasons other than being unable to do their jobs, highlights the importance of informal interpersonal relationships at work; being good at your job is not sufficient if you cannot work with people. Thus, the informal relationships employees have at work not only seem to have a significant effect on turnover; on whether employees choose to stay in their jobs and on their subjective enjoyment of their jobs, but also on whether organisations want them to remain or decide to end their employment. Intuitively, it is likely that the informal relationships individuals have in the workplace will affect their experience of work. Correspondence with members of the public, in response to the article mentioned above, and with friends and colleagues seems to support this. However it is possible that the people who felt strongly enough about these issues to write in response to a newspaper article are not representative of the general working population. As there is currently little empirical research investigating the phenomenon of informal workplace relationships published in the literature, it is the aim of this thesis to address this gap. Thus, a focus of this project is to examine the 3 Introduction possible effects of informal workplace relationships, both on the well-being of employees, and on organisational outcomes such as job satisfaction, organisational commitment and intention to leave an organisation . . To examine the phenomenon of friendships at work, a theoretical model is proposed and tested. In the studies described in this thesis, informal interpersonal relationships other than romantic relationships are examined. Some previous research has looked at romantic relationships between work-mates (e.g., Anderson & Hunsaker, 1 985; Quinn, 1 977), but sufficient research exists to suggest that friendship and romantic relationships are distinct relational types, and should be investigated separately (Bridge & Baxter, 1 992). Although there is an enormous literature on formal dyadic units (e.g., supervisor­ subordinate, mentor/protege), very little research has examined the role of friendships as they relate to organisational effectiveness (Dillard & Fritz, 1 995). A contribution this thesis will make is addressing a lack in the literature of research directly focusing on friendships, both in a New Zealand context, and internationally. Because there is evidence to suggest that different work roles attract and retain people with corresponding values and or needs (Schneider, 1 987; Schneider, Goldstein, & Smith, 1 995; Schneider & Reichers, 1 983), it is not unreasonable to make some assumptions about role occupants. For example it is possible that employees with highly autonomous jobs, which require very little social interaction, will be less affected by friendships (or lack of friendships) in their workplace than those who work very closely with others in the course of their day. Similarly it is possible that people with different needs might be differently affected by social opportunities at work. This thesis will also examine whether these differences do, in fact, exist. To address this question, this thesis will examine whether or not the relationships between workplace friendships and organisational outcome variables (commitment, intention to leave, etc.) differ between employees from different types of jobs, and between people with different needs. Thus, a second focus of this project relates to the notion that the presence of satisfying relationships at work is likely to have more salience for some people than others. 4 Introduction Aristotle believed that without friends no one would choose to live. In New Zealand' s increasingly secular society (of primarily nuclear families), there may be a growing reliance on the workplace to give a sense of belonging that people formerly drew from their church, community, or extended family. The day-to-day living of the populace is, more than ever, focused on working life. Perhaps, today, Aristotle would say instead . . . "Without friends no one would choose to work. " 5 Literature Review Chapter 2 : Literature Review 2.1 Where does this Project Sit Within Psychology? The focus of this project, infonnal relationships in organisations, sits within the realm of both social and organisational psychology. Friendship fonnation and maintenance has long been studied within the field of Social Psychology (e.g., Adams, 1 963 ; Baxter, 1 990; Baxter, 1 988; Bridge & Baxter, 1 992; Buunk & Prins, 1 998; Duck & Periman, 1 985; Duck & Wright, 1 993; Fine, 1 986; Wright, 1 969, 1 974, 1 984). The study of social needs at work has been a feature of Organisational Psychology (or, historically, Management Studies) since Elton Mayo first associated the fulfilment of employees' social needs to productivity and efficiency in the workplace in the 1 940s (Mayo, 1 945). 2.1 .1 Social Psychology: A History of Friendship Research Since the time of the ancient Greek and Roman philosophers, and no doubt the Eastern philosophers prior to that, friends have been recognised as important sources of affection, pleasure, companionship and support. Predating the scientific method, the works of Aristotle and Plato were philosophical rather than empirical, but represent some of the earliest conceptualisations of friendship, as distinct from other relationships in people's lives. For example, according to Plato, true friendship is derived from basic human needs and desires, such as wanting to strive toward goodness, to love and be loved, and to seek self-understanding (Blieszner & Adams, 1 992). Aristotle, on the other hand, described a multi-dimensional conceptualisation of friendship, outlining three functions, or characteristics of friendship; the quality of goodness (two people having mutual admiration for each others loyalty and justness), the quality of enjoyableness (a friendship that is valued for the pleasure taken in the others company), • and the quality of utility (a friendship that is valued for the benefits the friendship 6 Literature Review provides). Aristotle believed that perfect friendships would be characterised more by goodness, than by either utility or enjoyableness (Bukowski, Nappi, & Hoza, 1 987). Interestingly, there has been empirical research in Social Psychology that examines the validity of the multi-dimensional model first proposed by Aristotle. Murstein and Spitz ( 1 974) conducted research with college women, testing Aristotle's theory. In Murstein and Spitz' s study respondents were asked to rate seven target individuals2 on an 80-item bipolar adjective checklist. The authors examined the factor structure resulting from these ratings and found that the three dominant factors related closely to the three components of friendship proposed by Aristotle, thereby supporting his model. More recently Bukowski et al. ( 1 987) also assessed the validity of Aristotle' s model, addressing some of the limitations of Murstein and Spitz's study by researching both men and women. Bukowski et al. asked respondents to complete two bi-polar adjective rating scales, one for their best male friend and the other for their best female friend. It was expected that subjects' ratings of the items representing the constructs of goodness, utility and enjoyableness would reveal goodness to be the most central component of friendship (the items chosen were those that had the highest factor loadings in the Murstein and Spitz (1 974) data) . Like Murstein and Spitz, Bukowski et al. found that Aristotle' s three friendship components could be measured reliably. In addition, Aristotle' s notion that goodness is the most central component of friendship was supported, as goodness was more highly correlated with the other two scales, than they were with each other. This implies that a friendship characterised by goodness will also feature qualities of utility and enjoyableness, but friendships characterised by utility will not necessarily feature enjoyableness, and those that are characterised by enjoyableness will not necessarily feature utility. Thus both the Bukowski et al. ( 1 987) and the Murstein and Spitz (1 974) studies found support for Aristotle's conceptualisation of friendship, establishing that the three components could be measured reliably, and also supporting the validity of the model as a means of understanding friendships. 2 Most admired friend, most useful friend, most enjoyable friend, best female friend, best male friend, the self and the ideal self. 7 Literature Review Despite the very long history of observations and commentary on friendships in the writings of philosophers and social histonans, friendship relationships have received relatively little attention from behavioural scientists compared to that given to romantic, family or neighbour relationships (Blieszner & Adams, 1 992). Nonetheless, looking back over past literature, a growing interest in the study of friendship relationships is apparent. Blieszner and Adams outline six trends in friendship research, which have occurred over the past few decades. They are: 1 . Expansion of the early (pre 1 970's) focus on child peer interaction to the study of friendship across the lifespan. 2 . Movement towards studying friendship as a distinct category of relationship. 3 . Broadening of adult friendship research from a disciplinary (social psychology) to a multi-disciplinary (sociology, anthropology, management studies) focus. 4 . Change from studying friendship as a collection of attributes of individuals to studying it as a relationship. 5. Greater recognition of the importance of studying the quality of relationships (i.e., intimacy and multiplexity) as well as the quantity of interaction (i .e., propinquity and proximity). 6. Expansion of the range of research methods used in friendship studies (e.g., critical incidents, quantitative research, statistical procedures, content analysis, discourse analysis). It is possible to add one final trend to Blieszner and Adams' list: 7. The study of friendships within different contexts, and the impact of context on friendship. The current thesis focuses on item six, in that it makes the most of the expansion of the range of research methods used in friendship studies; both qualitative and quantitative techniques will be used to collect data, and much of the data collection takes place online. Additionally, path analysis and structural equation modelling (SEM) (Byme, 200 1 ) will be used to analyse data, in order to establish if the data collected supports the 8 Literature Review proposed models. This thesis also addresses item seven, plaCing the research within the workplace as a context, and investigating the impact aspects of the workplace may have on friendship relationships. In sum, scholars of Social Psychology have long been concerned with defining friendship and examining the functions of this relationship, both for individuals and within society as a whole (Blieszner & Adams, 1 992). Over the course of history, conceptions of friendship have moved from abstract philosophies about friendship, to the recognition of the vital role that friends play in providing the social support essential for coping with daily life. Recent conceptual and methodological advances in the field of social psychology have opened up new areas of enquiry. Path analysis and SEM, for example, allow researchers to draw inferences about possible antecedents and consequences of friendships. 2.1 .2 Organisational Psychology: A History of Human Factors Research . The importance of social relationships in the workplace has been recognised by scholars for most of the last century. Elton Mayo (1 945) brought workplace friendships to attention when he wrote the first management book focusing on the. social needs of employees. Mayo advocated the role of emotional factors in determining employee behaviour, contending that the extent to which employees received social satisfaction in the workplace was the most powerful influence on productivity (Mayo, 1 945). In addition, Mayo argued that the key determinant of job satisfaction was group interaction, and highlighted the importance of good leadership and satisfying personal relations in the workplace. Moving on in time, the work of Maslow ( 1 954), developed a five-level hierarchy of human needs, ranging from basic physiological needs, to safety, 'belongingness' and love, esteem and self-actualisation. Maslow's theory contends that; as lower level needs (such as physiological and safety needs) are satisfied, higher level needs (such as esteem and self-actualisation needs) emerge as motivators. Because of its intuitive appeal, and because no measuring instruments existed which could test it, Maslow's theory was accepted for many years. However, more recent research has provided only partial support for Maslow's theory, and has not provided strong evidence that the theory predicts performance (e.g., Betz, 1 982; Betz, 1 984; Wahba & Bridwell, 9 Literature Review 1 976). For example, nearly thirty years ago Wahba and Bridwell ( 1 976) reviewed thirteen studies testing Maslow's theory arid found only partial support for the concept of a need hierarchy and no support for Maslow' s gratification/activation proposition3 • More recently, a study by Betz (1 982) compared female managers to female homemakers. It was found that neither group of women ranked their needs in accordance with Maslow's hierarchy. In spite of the lack of direct empirical support, Maslow's theories can be applied broadly to Industrial-Organisational Psychology. For example, the opportunities to satisfy needs are still studied in organisational contexts, and needs have been related to organisational commitment (Steers, 1 977; Steers & Braunstein, 1 976), job satisfaction and tendency to leave (Zinovieva, ten Horn, & Roe, 1 993). In a New Zealand based study, Shouksmith (1 994) administered the Multidimensional Job Satisfaction Scale to a sample of 1 1 2 1 health professionals to ascertain which organisational factors were associated with commitment. Opportunity for personal growth (or self-actualisation) was found to be related to all three forms of commitment. Thus, the needs themselves have been shown to influence performance in certain jobs, and although the simple hierarchy that Maslow envisioned may not adequately reflect the complexity of human motivation, his theory still has use. Not long after Maslow published his Need Hierarchy theory, Herzberg, Mausner and Snyderman (1 959) wrote The Motivation to Work, which describes how employee satisfaction stems from factors such as achievement, recognition for accomplishment, challenging work, increased responsibility and opportunities for growth and development. Herzberg's ( 1 966) two-factor theory of job satisfaction was influential in the development of many subsequent measurement tools (Tovey & Adams, 1 999). Herzberg et al. postulated that satisfaction and dissatisfaction are two separate phenomena. Intrinsic factors, i.e., factors intrinsic to the nature and experience of doing work, which they found to be job satisfiers, include; achievement, recognition, work itself and responsibility. They named these factors 'motivators. ' Extrinsic factors, 3 The gratification/activation proposition holds that gratification of a given need submerges it, and "activates" the next higher need in the hierarchy. 10 Literature Review which they found to be job 'dissatisfiers, ' include; company policy, administration, supervision, salary, interpersonal relations and working conditions. They named these 'hygiene' factors. Herzberg maintained that hygiene factors counteract physical needs and can avoid discomfort, but cannot produce pleasure. On the other hand, the satisfiers of psychological needs (motivators) can produce pleasure, but their absence does not produce discomfort. Herzberg viewed the two dimensions of satisfaction and dissatisfaction as independent of each other. Consequently, it is possible to be simultaneously satisfied and dissatisfied with different aspects of the same job. There has been criticism of the Herzberg edifice; Hackman and Lawler ( 1 97 1 ) state that a number researchers have been unable to find support for some of the major tenets of the theory. For example, King (1 970) evaluated five versions of the two-factor theory, finding two to be entirely invalid, another to be supported only by experimenter coding bias and two versions to have indeterminate validity. Hulin and Smith ( 1 967) empirically tested the implications of the two-factor theory and found no support for the theory at all (finding instead that any variable in a job that makes it desirable, will make the job undesirable by its absence). In spite of historical criticisms, Herzberg's two­ factor theory is often used to provide a framework within which to interpret job satisfaction research. For example, Knoop (1 994) examined the relationship between the satisfaction and work values of Canadian teachers, finding support for Herzberg' s theory. Adigun and Stephenson (1 992) also found support for Herzberg' s theory with a British, but not a Nigerian, sample of employees. Fumham Forde, and Ferrari ( 1 999) used Herzberg' s two-factors to provide a framework within which to examine personality and work performance. Maidani ( 1 99 1 ) used Herzberg's classification scheme to compare employees working in the public with those working in the private sector. Maidani found further support for Herzberg's two factors with employees' motives for work emphasising intrinsic / motivator factors of employment, and the satisfaction of employees not being attributable to hygiene factors. Finally, Yamashita ( 1 995) investigated the job satisfaction of nurses in a large, acute-care hospital in southern Japan and also found support for Herzberg's theory, with the diss�tisfaction of nurses being related to extrinsic (hygiene) aspects of work such as having few opportunities for promotion or less favourable working conditions. In his review of 1 1 Literature Review influential Management books, Bedeian (2001 ) states that it was The Motivation to Work which " . . . set the stage for the ensuing job redesign movement and quality-of­ working life revolution" (p. 225). It is the progression of this working-life revolution that has set the scene for the current study. Another early theorist whose work is relevant to the current study is McClelland ( 1 96 1 ), who initiated Achievement-Motivation theory. Central to McClelland's theory are needs for achievement, power and affiliation. Medcof ( 1 995, p. 1 94) cites the Personality Research Form Manual, compiled by Jackson ( 1 989) which describes a person with a high need for achievement as follows: "Aspires to accomplish difficult tasks; maintains high standards and is willing to work toward distant goals; responds positively to competition; willing to put forth effort to attain excellence. " The Personality Research Form Manual describes a person with a high need for power (dominance) as follows: "Attempts to control environment, and to influence or direct other people; expresses opinions forcefully; enjoys the role of leader and may assume it spontaneously." and describes a person with a high need for affiliation as follows: "Enjoys being with friends and people in general; accepts people readily; makes efforts to win friendships and maintain associations with people." The research on needs, though historically focused on managerial and organisational success, does highlight the importance of the fulfilment of social needs at work. We live in a society in which people derive much of their identity from their occupation and where there is an increasing reliance on the workplace to fulfil social needs. Yet, despite the prevalence of friendships at work, and despite the historical acceptance of the influence of social factors in organisations, there has been surprisingly little empirical research or discussion in New Zealand, or overseas, focusing specifically on friendships in the workplace. 2.1.3 The Current Research Several organisational researchers in the past decade have commented on the dearth of literature in the area of workplace friendships. For example, Nielsen, Jex and Adams (2000) state that the area of workplace friendship has remained relatively under- 1 2 Literature Review examined, both empirically and theoretically. Similarly, Zom ( 1 995) states that workplace friendship is a phenomenon that is almost never studied; Winstead, Derlega, Montgomery and Pilkington (1 995) comment that there is relatively little research on the relationship between friendship and job satisfaction; and Fritz ( 1 997) states that within the organisational literature there remains a large gap regarding the comparative attributes of men's and women's peer relationships (although this has been studied extensively in non-work contexts). More recently, Raabe and Beehr (2003) also state that there is little research on co-worker (peer) influences at work, compared to the amount which has focused on leaders and supervisors. One of the few studies which has directly examined workplace friendships was by Riordan and Griffeth ( 1 995) (refer section 2 .3 .3 for a full description of this study). These authors also comment on the gaps in the literature, stating that, " . . . the interpersonal job dimensions of dealing with others and friendship opportunities have received only cursory, if any, examination in many of the existing job characteristic studies." They go on to comment that the " . . . lack of research evidence is surprising since improved interpersonal relationships may influence a variety of performance and attitudinal outcomes" (Riordan & Griffeth, 1 995, p. 1 4 1 ). In order to begin examining the impact of friendships at work, "Friendship Opportunity" as a dimension of perceived job characteristics was developed by Hackman and Lawler ( 1 97 1 ) to examine the degree to which a job allowed employees to talk to one another and establish informal relationships at work. Although, historically, there has been a great deal of research on the effect of social support in the workplace (e.g., Chapman, 1 993 ; Gant et aI. , 1 993 ; LaRocco & Jones, 1 978; Loscocco & Spitze, 1 990; Vinokur, Schul, & Caplan, 1 987; Williams, Ware, & Donald, 1 98 1 ) relatively little work has attempted to specify what the attitudinal consequences are of perceived friendship opportunities within the job. Social support can be distinguished from friendship in that social support can be obtained from many sources in an employee's life; in addition relationships with individuals from whom one simply receives social support will likely lack the intimacy and sense of uniqueness associated with close friendships. Although most of the research on social support suggests that support in an individual's work 1 3 Literature Review environment is related to the achievement of vanous organisationally desirable outcomes such as stress reduction, satisfaction, self-esteem and retention; friendship opportunities, as a variable has seldom been examined. The current study will go some way towards addressing this shortfalL As well as addressing the lack in the literature, of research focusing on friendships in the workplace, another focus of this project is turnover. Turnover represents one of the most important issues for any organisation. The money and time invested in hiring and training an individual who leaves the organisation is lost forever. These costs are considerable, and increase further up the organisational hierarchy, i .e., replacing a senior manager represents a more significant cost than replacing a more junior member of staff (Richer, Blanchard, & Vallerand, 2002). Thus, in addition to workplace friendships, employee turnover also deserves the scientific attention it receives in the current study. 2.2 What is it to be a Friend? Friendships are voluntary relationships that exist primarily for enjoyment and satisfaction, rather than for the fulfilment of a particular function or role (Sapadin, 1 988). Adams ( 1 994) states that; " . . . in contrast to other forms of intimate relationships in our society, friendship is uniquely voluntary" (p. 163) . Blood and legal ties designate relatives, colleagues are designated by one's employer or organisation, neighbours are designated by proximity but friends, particularly adult friends, are selected. There is no formal ceremony to mark the beginning or the end of a friendship, as there is for other relationships (such as marriage), and even definitions of friendship are subjectively variable. This is a complicating factor in the study of friendship, as one person may consider their hairdresser with whom they occasionally socialise a friend; while another may use the term only for people with whom they are very intimate (Sapadin, 1 988). Thus, it is important to first define friendships for the purposes of this study, and to distinguish friendship relationships from other relationships that may exist in an individual's life. 14 2.2.1 Friends Compared to Other Relationships Friendship versus love relationships Literature Review Rubin (1 970) conducted research to differentiate between romantic love and liking of friends; his results indicated that liking and loving are two distinct constructs, associated with different behaviours and emotions. More recent evidence that love relationships are distinct from friendships comes from a survey of German students (Lamm & Wiesmann, 1 997). Respondents were asked to write down how they could tell if they liked someone, loved someone, or were in love with someone. The authors found that the most distinctive characteristic of "liking" was wanting to interact socially with the other; the most distinctive characteristic of "love" was trusting the other; and the most distinctive characteristic of being "in love" was arousal. Both liking and love were associated with a positive mood in the other' s presence. Bridge and Baxter (1 992) also state that sufficient research exists to suggest that friendship and love relationships are distinct relational types. The current study will focus on friendships rather than love . relationships. Formal versus informal relationships The workplace relationships which have received by far the most research attention are those of superior-subordinate (or supervisor-supervisee) (e.g., Allen, 1 995 ; Gant et al. , 1 993; Largent, 1 987; Murphy & Ensher, 1 999; Sias & Jablin, 1 995; Vecchio & Bullis, 2001 ; Wesolowski & Mossholder, 1 997) and mentor-protege (e.g., Beans, 1 999; Ensher & Murphy, 1 997; Riggins & Kram, 200 1 ; Kram & Isabella, 1 985; Kram, 1 983). These relationships lack the voluntary aspect of friendships, as they are prescribed by the organisation; they are an example of formal relationships and are therefore not a direct focus of the current study. This is not to say, however that a true friendship cannot evolve from an existing formal organisational relationship (refer section 2.3 . 8 on blended relationships). This study focuses on informal organisational relationships; those not prescribed by the organisation. 1 5 Literature Review Friendship versus acquaintanceship Interpersonal relationship literature, both empirical and theoretical, suggests that people distinguish between friendship and acquaintance relationships, and that different rules govern people's interaction in the two relationships. "Friendship groups are defined as groups with close interpersonal ties and positive, amiable, pre-existing relationships between members. Acquaintance groups are defined as groups with limited familiarity and contact among members. Members may know each other through casual encounters, however. . . a strong bond is lacking" (Jebn, 1 997, p. 776). Similarly "friendly relations", which are characterised by social/personal interactions, lack the intimacy, sense of uniqueness, strength of affective bond, and felt obligations associated with personal friendship. (Bridge & Baxter, 1 992)�. In contrast to the acquaintance relationship; Wright (1 984) states that close friendships; " . . . involve shared interests and activities, various kinds of intimacy, including self-disclosure and the sharing of confidences, emotional support, small talk, shop talk and the exchange of tangible favours" (Wright, 1 988, p. 370) Kenny (1 994) defined friendship as a " . . . mutual, voluntary relationship from which members expect intimacy, companionship, and responsiveness" (p. 1 024). Thus friendship, by these definitions, is voluntary and reciprocal. It is a relationship which is seen as unique and special by the participants, and which enhances their lives (i.e., is rewarding). Further, a definition by Wright (1 974) incorporates the context in which friendships occur. He defines friendship as a relationship involving voluntary interaction, in which " . . . the commitment of the individuals to one another usually takes precedence over their commitment to the contexts in which the interaction takes place" 1 6 Literature Review (p.94). This is important when conceptualising workplace relationships (section 2 .3) as it implies that the boundaries of genuine friendships supersede the role boundaries that may exist in a particular context. Wright's definition relates closely to the definition given in the section on workplace relationships (2.3 . 1 ) of the "special peer" in which formal workplace roles are ignored or downplayed. 2.2.2 The Nature of Friendship The structure of friendship Blieszner and Adams ( 1 992) outline aspects of the structure of friend pairs (dyads), describing aspects of the structure of friendships. The structure of friendships include the power hierarchy (the probability that one member of the dyad will be able to "get their own way" if disagreement were to arise, it is a measure of the influence one individual has over another), the status hierarchy (the distance between members in terms of prestige or moral worth), solidarity (the degree of intimacy) and homogeneity (the similarity of participants in terms of factors such as gender, ethnicity, occupational status, age, etc) (Adams & Blieszner, 1 994; Blieszner & Adams, 1 992). It is likely that all of these aspects of friendships will be relevant in organisational contexts. Status and power particularly are very salient in many workplaces because work roles are usually prescribed by the organisation and clearly defined status hierarchies often exist. Phases of friendship Relationships are dynamic, and friendships, like other relationships, will change over time; have beginnings when partners become acquainted, middles (when other features increase/decrease) and sometimes endings. Movement from one phase to another might be deliberate or might occur by chance (Adams & Blieszner, 1 994; Blieszner & Adams, 1 992). Adams and Blieszner (1 994) outline the three phases of friendship on the basis of how they evolve over time: Formation involves movement from stranger to acquaintance to friend. It involves identification of, and attraction to, a potential friend and then getting to know that person. Social factors which have been found to influence attraction include: proximity, 1 7 Literature Review adversity and prevailing mood, these circumstances facilitate the communication of sources of attraction such as similarity, familiarity and physical attractiveness (Carr, 2003). There are behavioural changes as partners .move from acquaintanceship to friendship. For example, as friendships become closer they tend to involve more interactions over a broader range of activities. More intimate friendships become increasingly dependent on affection rather than on frequency of contact. Maintenance is the most variable phase in terms of processes. Friends may evaluate the relationship and decide to retain it at its current level, make it more or less intense or change the types of activities they and their friend engage in. Some individuals might consciously employ friendship development strategies in this phase. Dissolution is when a friendship ends. Some friendships may go on for decades, with the assumption of indefinite existence, some end abruptly as a result of a disagreement or death, others simply wither away through 'benign neglect' (Adams & Blieszner, 1 994). Thus, the types of interactions and the dynamics within friendships can change a great deal over time. Outside influences might impact on friendship processes, and the phase a given friendship is in might also influence the way a particular dyad might interact. Processes in friendships Friendship processes include both the covert cognitive and affective responses and overt behavioural events that occur when people interact (Adams & Blieszner, 1 994; Blieszner & Adams, 1 992). Cognitive processes reflect the internal thoughts of each partner (about herself, her partner, the friendship etc). These include interpretations of behaviour, assessments of the stability of the friendship, and evaluations of the attractiveness, value, character and similarity to oneself of the other person. Affective processes are the emotional reactions to friends; these may be positive (affection, trust, loyalty, commitment, joy) or negative (anger, hostility, jealousy). Behavioural processes are the action components of friendships and include communication/disclosure, displays of affection, resource exchange, co-operation and 1 8 Literature Review the sharing of activities. On a more negative level they might include concealment, manipulation, conflict and competition. The three processes interact with each other. Cognitive processes result in affective reactions that, in turn, influence future actions. Behaviours can affect thoughts and emotions and so on. People can express their thoughts, feelings and actions so that their friends are aware of them or they may keep them hidden (Adams & Blieszner, 1 994). Thus it is possible that a change in any one of these processes will impact on the other two. In relation to the current study, it is necessary to keep the structures, phases and processes of friendships in mind when interpreting findings. This is particularly important when investigating the way that friendships might influence people's experience of work" as the aspects of friendships described above may influence the way measured variables relate to one another. For example, a relationship between two individuals in a very interdependent work environment organisation may be more difficult to manage than one between peers who work together only occasionally, and will probably require different types of communication and behaviour processes. 2.2.3 Gender Differences in Friendship While aspects of friendship relationships for men and women have been found to be similar in many respects (Wright, 1 988) some gender-based differences have emerged. Most research has pointed to the following broad differences between men and women. Women's friendships are described as 'communal' or ' face to face.' They tend to involve more self-disclosure, emotional supportiveness, extensiveness and complexity than those of men. In addition, women's friendships tend to stress reciprocity while men's stress commonality. Men's friendships are described as ' instrumental' or ' agentic' and ' side by side.' They tend to be organised around shared interests and activities and be action-oriented rather than person oriented (Markiewicz, Devine, & Kausilas, 2000; Winstead, 1 986; Wright, 1 988, 1 99 1 ). Literature with a focus on interpersonal relationships indicates men achieve and define closeness through the 1 9 Literature Review sharing of activities, while women define and achieve closeness through the sharing of feelings and emotions (Odden & Sias, 1 997; Wood & Inman, 1 993). These trends have also been found in a New Zealand context. Aukett, Ritchie and Mill ( 1 988) examined the same-sex and opposite-sex friendship patterns of 66 men and 152 women students at the University ofWaikato (N.Z.). Resembling findings in America by Winstead (1 995), Aukett et al. found that women in New Zealand also tend to have fewer, more intimate friends, which they place more importance on, than do men. In addition they also found that men tended to emphasise shared activities while women emphasised talking and emotional sharing. Both men and women were found to derive more emotional support and therapeutic value from their relationships with women. A possible implication of this, in a workplace context, is that friendships may have more salience in work environments that are predominantly female. In sum, research on friendships outside the workplace indicates that friendships involving at least one female are more satisfying for most people. Generally both males and females report greater satisfaction and more instrumental and emotional rewards from female friends than from male friends (Aukett et al., 1 988; Sapadin, 1 988; Veniegas & Peplau, 1 997), possibly as a result of women's greater comfort with intimacy and their emphasis on successful relationships as part of their self-concept (Markiewicz et al. , 2000). It is worth noting here however, that generalising literature on gender difference in friendships to specific individuals should be done with caution. While findings of gender differences in friendship are very robust, exceptions are certainly found. Findings that on average relationships with women are more satisfying does not mean that every friendship with a woman is found to be satisfying. In addition there are certainly more similarities across genders than there are differences between genders in terms of friendships. Virtually all close friendships involve shared interests and activities, intimacy, emotional support, small talk and the exchange of tangible favours, regardless of the gender of the participants (Wright, 1 988). The often quoted finding that women self-disclose more than men in relationships is an example of the way 20 Literature Review gender differences have been somewhat exaggerated. Wright ( 1 988) states that the bulk of evidence indicates that most men, as well as most women, self-disclose with relative ease. It just so happens that, on average, women do so more easily than men. 2.2.4 Why Do People Engage in Friendships? Two theories, which attempt to explain why people engage in friendships, are: (a) social exchange and (b) the intrinsic quality of friendship. Both are outlined below. Social exchange Social exchange theory proposes that whether we like somebody, or want to engage in a friendship with him or her, is determined by the cost-reward ratio . People will evaluate the cost to themselves (e.g., time, money, effort) to get a positive reward (e.g. , satisfaction, pleasure, support) from a particular person. Consequently social interaction entails both rewards and costs (Rook, 1 984). Social exchange may be thought of as a give-and-take relationship between people. According to this theory, " . . . we choose our social ties on the basis of their capacity to provide rewards relative to costs and as a function of the alternatives available" (Rook, 1 984, p. 1 098). Social exchange theory holds that people enter into relationships because of the rewards (benefits, fulfilled needs and other "profits") that such relations are expected to bring. Although the notion that relationships are cemented according to "economic" considerations is somewhat distasteful, it is generally true that people' s behaviour in relationships is shaped by the expectation of rewards, even if the reward is no more than an expression of gratitude. When such an exchange occurs, positive feelings develop (Anderson & Hunsaker, 1 985). The investment model (Rusbult, 1 980) also conceptualises relationships to involve costs and rewards; this model attempts to explain why people stay in relationships (i.e., an individual' s commitment) by describing three processes (satisfaction, alternatives and investment) . The investment model is usually applied to romantic relationships but it is possible to conceptualise the three processes as being relevant to friendships also. Impett, Beals and Peplau (2001 ) state that individuals are generally satisfied when relationships provide high rewards and low costs. Rewards are things obtained from the 2 1 Literature Review relationship that an individual enjoys, such as social support; while costs are aspects of the relationship that are unpleasant, such as conflict or financial burdens. People will generally be more committed to a relationship that creates satisfaction (i.e., one that has low costs and high rewards) (Bui, Peplau, & Hill, 1 996; Rusbult, 1 980). A second predictor of commitment in the investment model is the quality of alternatives. Alternatives refer to an individual's assessment of the rewards and costs that could be obtained outside the current relationship. Third, commitment is affected by investments of resources such as time, effort or money that an individual has contributed to the relationship and would lose if the relationship were to end. Thus, according to the investment model, individuals who are highly satisfied, have invested a great deal, and perceive few appealing alternatives will be highly committed to their relationships. Most exchange theorists assume that relationships are more satisfying and stable when reciprocity is perceived and when the rewards for each partner are relatively equal (Buunk, Doosje, Liesbeth, Jans, & Hopstaken, 1 993; Buunk & Prins, 1 998). Equity theorists 4 argue that being both over benefited or under benefited in a relationship may cause negative feelings (Buunk & Prins, 1 998). For example, someone may feel indebted to a friend if they receive more rewards than they are willing or able to reciprocate, or when they receive a more favourable rate of outcomes than the friend. This is an aversive state because of feelings of obligation, guilt and shame (Buunk et aI. , 1 993). On the other hand, feeling that the costs of a relationship outweigh the rewards is also accompanied by negative emotions such as a feeling of unfairness and resentment towards the other person. Thus, according to exchange theorists, the best friendships are those that are perceived to be reciprocal and of equal benefit to both individuals. In relation to the current study, social exchange may be more salient in an organisation than in other contexts; salient rewards and benefits such as positive reviews, promotion and "perks" might be obtainable from workplace relationships and may be a reason people seek to form alliances and friendships at work. 4 Equity theory is a special case of social exchange theory that defmes a relationship as equitable when the ratio of profit to contribution is perceived to be the same by each partner (Vaughan & Hogg, 1 998). 22 Literature Review The intrinsic quality of friendship While there is no doubt that friendships are fonned and maintained because they are rewarding (people are often able to clearly state what they "get from" particular friends), friendships that develop beyond superficial levels often have an intrinsic "end in themselves" quality. Each person perceives the other as being unique and irreplaceable. These friendships involve individuals whose participation transcends the importance of any easily specified set of rewards (Clark & Mills, 1 979; Wright, 1 984) . Thus friendships can become self-sustaining, inasmuch as they may be maintained even when the identifiable rewards that may have led to their development are no longer available. People do not stay in close friendships simply because they find that person or that friendship rewarding. Exchange theories are restricted to observations of rewards people obtain from friendships, this means-end thinking precludes regarding friendship as an intrinsic relationship (Clark & Mills, 1 979; Wright, 1 984). So, although social exchange does indeed take place in friendships, it does not fully explain them. Wright ( 1 984) presents a perspective that attempts to reconcile the intrinsic quality of friendship with the seemingly essential presence of some fonn of rewardingness. He states that it is possible to look at friendship as a communal relationship. A communal relationship is one where members are genuinely concerned about the welfare of each other. People are motivated towards benefiting the other because of "equality of affect." This is the idea that members in a dyad experience similar affect, if one feels good or bad, both do. Thus, it is in the best interests of both individuals to please the other (Clark & Mills, 1 979; Wright, 1 984). Conceptualising friendships as communal contrasts with the conceptualisation of friendships solely as exchange relationships, in which members assume that a benefit is given with the expectation of receiving benefit in return. In fact, communal relationships tend to be more rewarding if exchange is not in evidence (Wright, 1 984). Thus, although people often receive tangible rewards from their friends, the communal 23 Literature Review aspect of these relationships is one thing th'lt differenti'!tes "friends" from other "useful" people in a person's life. Many people probably make an effort, at least initially, to make friends at work because of the tangible benefits and perks that they may be able to obtain; but if geriuine", communal friendships form in a workplace, the rewards may be even greater. It is probably the more communal relationships that will affect employees' satisfaction with their jobs and commitment to their organisation. 2.3 Relationships in a Workplace Context Because friendships have been found to commence and evolve in a similar manner across contexts, there is no reason to believe that literature on friendship in general cannot be applied to friendships at work. For example Fritz (1 997) conducted a study comparing men's and women's peer relationships in organisations, surveying 666 organisational employees resident in a Midwestern (U.S.A.) metropolitan area. She found that women's organisati 1 year 14 1 1 .6 1-5 years 50 40. 1 5- 1 0 years 17 14 10- 1 5 years 14 1 1 .6 1 5-20 years 17 13 .4 20+ years 1 0 8 . 1 Note: not all people answered all questions; the number of respondents declining to answer each question is indicated in Table 1 . Because they worked in a hospital, many of the respondents were from predominantly traditionally female occupations; nurses and clerical staff made up 84.7% of the sample. As a result, the sample was almost entirely female (95%). In addition, most were over , the age of 40 (75 .8%), the mean age was 44, most self-reported as being of "European descent" (89.2%). Almost halfhad been at Waitemata DHB for 5 years or longer. 3.2.2 Materials Data were gathered using a self-administered questionnaire (refer appendices 1 - 1 0), which consisted of an information sheet, several instruments and survey questions. The instruments and survey questions are as follows. 75 Hospital Study Workplace Friendship Scale Prior to investigating the possible effects of friendships in the workplace, it is first necessary to establish if, in fact, friendship relationships are present in the workplace. To do this, the Workplace Friendship Scale (Nielsen et aI. , 2000) was incorporated into the final questionnaire. The scale measures two aspects of work place friendship: (a) the opportunity for friendship (e.g., I have the opportunity to get to know my co-workers), and (b) the prevalence of friendship (e.g., I have formed strong friendships at work). There are twelve items, rated on a 5-point likert scale from strongly disagree to strongly agree (refer appendix 2 for the items in the workplace friendship scale). The items in the workplace friendship scale were derived by Nielsen et at (2000) from previous workplace friendship measures (Riordan & Griffeth, 1 995; Winstead et aI. , 1 995; Wright, 1 969, 1 974) and a literature review of previous social psychological research. Nielsen et al. conducted item analysis to assess how each item related to the overall scale. The items in the scale are the 1 2 (of an original 3 5) that correlated most highly with the total sub-scale score. Nielsen et al. (2000) assessed the internal consistency reliability of the scores of the two six-item sub-scales of the Workplace Friendship Scale (i.e., "prevalence of friendship" and "opportunities for friendship"). The internal consistency reliability estimates (Cronbach's alpha) for the scores were .84 and .89 for the 'opportunities for friendship' and 'prevalence of friendship' sub-scales respectively. In addition, Nielsen et al. 's factor analysis supported a two-dimensional scale structure. After determining the internal consistency reliability and dimensionality of the scale scores, Nielsen et al. (2000) conducted a second study to provide evidence of construct validity. Construct validity was assessed through convergent validity evidence, discriminant validity evidence, and the predictions that comprised the proposed nomological network (Cronbach & Meehl, 1 955). Nielsen et al. (2000) believe adequate evidence was provided for the construct validity of the scale. Based on their results, it appears that the newly developed scale yields internally reliable scores, and effectively measures both friendship opportunities and friendship prevalence. 76 Hospital Study Relationships in the workplace questionnaire As part of the questionnaire for the current study, respondents were also given the definitions of the three peer types identified by Kram and Isabella ( 1 985) (i .e. , special peer, collegial peer, and information peer) and asked to indicate how many peers of each type they had at work. Negative relationships were also defined, and respondents indicated how many negative relationships (if any) they had (refer appendix 3 for the definitions given to respondents). Dual Role Tension Questionnaire As discussed in section 2.3 .8 , Bridge and Baxter conducted a study examining the extent to which employees experience dilemmas or contradictions posed by the friendship and work-association components of their relationships at work. An adaptation of the Dual Role Tension Questionnaire, designed by Bridge and Baxter ( 1 992), was included to measure the dual role tension experienced by individuals who have blended relationships, i .e. , relationships which occur when people have a work­ associate who is also a close friend (e.g., Our relationship would be a lot easier if we were only friends or only work associates instead of being both; refer appendix 4 for the items in the Dual Role Tension Questionnaire). The six-items used in the current study are those that were found to tap into overall dual role tension, Bridge and Baxter state that these items load together as a single factor and found the six-item index to have an alpha reliability of .85 . Workgroup Cohesion Scale Cohesion was measured using a nine-item workgroup cohesion scale, rated on a 5 -point Likert type scale from strongly disagree to strongly agree (e.g., Members of my team are very willing to share information with other team members about our work). Items measuring this variable were selected from a 54 item Work Group Characteristics Measure developed by Campion (1 993). Only those items from the Work Group Characteristics Measure relating to cohesion were used in the current study. The items are those relating to ( 1 ) Social Support, (2) Workload Sharing and (3) .,' Communication/Co-operation within the work group (refer appendix 5 for the items in the workgroup cohesion scale). Campion et al. provided evidence that a composite of 77 Hospital Study these items reliably predicted effectiveness criteria (productivity and manager judgements of effectiveness, (p < .05)). In addition the sub scales had adequate internal consistency reliability ( a = .78, .84 and . 8 1 respectively). Organisational Commitment Questionnaire To assess the organisational commitment of respondents the Organisational Commitment Questionnaire was included in the survey (refer appendix 6 for the 1 5 items in the Organisational Commitment Questionnaire). This is the most commonly used measure of employee's organisational attachment to an organisation (Meyer & AlIen, 1 99 1 ). The Organisational Commitment Questionnaire IS a 1 5-item scale, designed to assess acceptance of organisational values, desire to remain with the organisation and willingness to exert effort (e.g., I am proud the tell others I am part of this organisation). Items are rated on a 7-point Likert scale from strongly disagree to strongly agree. Although it was validated with a western population in mind, recent research using the Organisational Commitment Questionnaire has provided evidence for its generalis ability and validity in the measurement of organisational commitment in non-western populations such as China (Siu, 2002), the United Arab Emirates (Yousef, 2003) and South Korea (Lee, AlIen, & Meyer, 200 1 ). In addition Mowday and colleagues have provided evidence for the test-re-test reliability, convergent and discriminant validity, internal consistency, and predictive validity of the Organisational Commitment Questionnaire (Mowday, Steers, & Porter, 1 979). For instance Mowday et al. found the overall measure of organisational commitment to be relatively stable over time (r = .53, .63 and .75 over 2-, 3- and 4-month periods), demonstrating good test-re-test reliability. Significant correlations were found between Organisational Commitment Questionnaire scores and "intention to remain with the organisation", illustrating convergent validity. In addition, the Organisational Commitment Questionnaire was found to correlate significantly with scores from the Organisational Attachment Questionnaire (convergent validities across six diverse samples ranged from .63 to .74) (Mowday et al. , 1 979). Meyer and Allen ( 199 1 ) also examined convergent validity, finding that the Organisational Commitment Questionnaire correlated significantly with their measure of normative commitment (r = 78 Hospital Study . 5 1 ). Evidence was reported for a consistent inverse commitment-turnover relationship with correlations, ranging from - . 1 7 to -.43, demonstrating the predictive validity of the measure. Mowday and colleagues calculated internal con"sistency using coefficient a , item analysis and factor analysis, finding coefficient a to be consistently high, ranging from .82 to .93 with a median 'of .90. Item analysis20 indicated that each item had a positive correlation with the total score for the Organisational Commitment Questionnaire, with the range being from .32 to .72. Mowday et al. ' s ( 1 979) original factor analysis (rotated to Kaiser varimax solution) resulted in a single factor solution and suggested the 1 5 items of the Organisational Commitment Questionnaire are relatively homogeneous with respect to the underlying attitude construct they measure. Since Mowday et al. ' s study, several researchers have supported the notion that the Organisational Commitment Questionnaire measures a single common underlying construct. For example Ferris and Aranya ( 1 983) employed factor analysis (varimax rotation with Kaiser normalisation) to analyse data collected from 1 , 1 05 Canadian accountants. Ferris and Aranya found the I S-item scale yielded a single factor. Morrow and McElroy ( 1 986) used data collected from 536 supervisors in a public agency in the mid western United States ; they also found that items on the organisational commitment scale used in the current study loaded together as a single factor (varimax rotation). There have been other researchers, however, who have found support for the notion that the Organisational Commitment Questionnaire is a multidimensional measure of organisational commitment. For example Barhayim and Berman ( 1 992) examined the dimensions of organisational commitment using data collected from 1 ,299 industrial workers in Israel. Barhayim and Berman's results revealed organisational commitment to have two dimensions; they made a distinction is between ' loyalty to the organisation' and 'identification with and readiness to exert effort on its behalf. ' Barhayim and Berrnan state that this is a distinction between passive and active organisational commitment. Angle .and Perry ( 1 98 1 ) studied a sample of 1 244 bus-service employees and 96 transit managers in twenty-four organisations in the Western United Sates. 20 Correlation between each item of the commitment scale and the total score, less the item 79 Hospital Study Utilising factor analysis, Angle and Perry also found a two-dimensional conceptualisation of organisational commitment, which they labelled 'value commitment' and 'commitment to stay. ' In a more recent study using data collected from employees from- the United Arab Emirates (two independent samples, one of 430 and another of 567 employees), Yousef (2003) also found that the Organisational Commitment Questionnaire to be a multidimensional concept. For the purposes of the questionnaire used in the current study, organisational commitment was defined as " . . . the relative strength of an individual ' s identification with, and involvement with, a particular organisation" (Mowday et aI., 1 979, p.226). As discussed in Chapter Two, organisational commitment can be characterised by a strong belief in and acceptance of the organisation's goals and values, a willingness to exert effort on behalf of the organisation and a strong desire to maintain membership in the organisation. Exploratory factor analysis in the current study indicated that the items on the Organisational Commitment Questionnaire generally loaded together as one factor, the coefficient a for the items remaining after factor analysis for the current study was .87, indicating that, for this sample, the items used to measure organisational commitment can be used as a single factor. Measure of job satisfaction Job satisfaction is the degree to which a person reports satisfaction with intrinsic and extrinsic features of their job; it is also defined as a positive emotional state resulting from the appraisal of aspects of one' s job (Levy, 2003) . The job satisfaction scale used in the current study was one part of a larger battery of eight scales devised by Warr, Cook and Wall ( 1 979). The whole battery included measures of work involvement, intrinsic job motivations, higher order need strength, perceived intrinsic job characteristics, job satisfaction, life satisfaction, happiness and self-rated anxiety. Only the 16-item scale relating to job satisfaction was used for this study. Respondents indicate how satisfied or dissatisfied they feel with each of 1 5 aspects of their job (e.g. The recognition you get for good work). Items are rated on a 7-point Likert type scale from very dissatisfied to very satisfied. Total job satisfaction is the sum of all the 80 .- Hospital Study separate items. There is also a 16th item, which is a measure of satisfaction with the job as a whole (refer appendix 7 for the 1 6 items in the Job Satisfaction Questionnaire) . Warr, Cook and Wall ( 1 979) reported the test re-test reliability of their job satisfaction measure (respondents in the study were tested six months after their initial interview). The test-retest correlation co-efficient was shown to be .63 for total job satisfaction, but only .27 for overall job satisfaction, the single item measure. For this reason total job satisfaction will be used in the current study. Warr, et aI . (1 979) also note that, although the scale can be factor analysed into several job satisfaction clusters, (for example 'extrinsic satisfaction' and 'intrinsic satisfaction' items were identified by Warr, et al. ) they are closely and positively related to one another, suggesting that separate subscale scores will not always warrant calculation. Although Warr et all found, using cluster analysis, that items clustered together into intrinsic and extrinsic satisfaction subscales; exploratory factor analysis in the current study indicated that the items on the Job Satisfaction Scale generally loaded together as one factor, the coefficient a for the items remaining after factor analysis for the current study was .83, indicating that, for this sample, the items used are sufficiently homogeneous with respect to the construct they measure, to use as a single factor. Measure of intention to leave Quitting a job is often portrayed as a carefully considered multi-step decision culminating in an intention to quit (Fisher, 2002; Mobley, 1 977; Sager, Griffeth, & Hom, 1998). Intention to leave has been described as the last in a sequence of withdrawal cognitions, along with thinking of quitting and intent to search for alternative employment (Mitchel, 1 98 1 ; Mobley, 1 977; Mobley, Homer, & Hollingsworth, 1 978; Tett & Meyer, 1 993). It is often measured with reference to a specific interval such as "within the next 6 months" or "within the next year." In this study intention to leave was measured with three items theorised to be important precursors to turnover; thinking of quitting, intention to search for alternative employment, and intention to quit (Chang, 1999; Mobley, 1 977; Mobley et aI . , 1 978) (e.g. I will probably quit my job in the next year). Some or all of these three items have 8 1 Hospital Study been used by researchers in some form for the past few decades (e.g., Chang, 1 999; Lu et aI . , 2002; Rambur, Palumbo, McIntosh, & Mongeon, 2003 ; Sager et aI. , 1 998). Answers to each item were recorded on a seven-point likert scale (refer appendix 8). In the current study the internal reliability of the three items was good, (coefficient a. = .82). Open ended questions Six open-ended critical incident questions were used to give respondents an opportunity to comment on the impact workplace friendships and negative relationships had on their experience of work, with the aim of providing the researcher with a source of qualitative data to provide further insight to quantitative findings. In these, respondents outlined how their informal interpersonal relationships either improved or negatively affected their work environment and, if appropriate, how the workplace might have affected their relationships (refer appendix 9 for the actual questions asked of respondents). 3.2.3 Procedure Ethics approval was applied for and obtained from the Massey University Human Ethics Committee (MUHEC) and from Waitemata District Health Board. Every fifth person (listed alphabetically) on the payroll of the Waitakere Hospital site (except those working in mental health) and all employees of the Community and Disability Service were selected to receive an information sheet and questionnaire in the organisation's internal mail system (refer appendices 1 - 10). A full information sheet was delivered along with the questionnaire, so submission of the questionnaire was taken as informed consent. In order to maintain confidentiality there was no way to identify individual \ respondents. A stamped envelope, addressed to the researcher was included with each questionnaire for ease of return. In total, 419 questionnaires were sent out through the internal mail system of the Waitemata District Health Board. Of the 419 sent out, 1 1 were not delivered as the staff members had left the organisation. Thus the total number of questionnaires delivered to employees at Waiterp.ata DHB was 408. One month later, a follow up letter was sent to the original list of 419 employees (refer appendix 1 1 ) . This letter thanked those who had returned their questionnaires and 82 Hospital Study reminded the others that they could still submit theirs if they wished to participate. Fourteen participants responded to the second call, bringing the final return rate up to the figure of 30% reported in section 3 .2 . 1 . 3.3 Analysis and Results 3.3.1 Imputing Missing Values Respondents 1 6 and 1 0 1 failed to complete the cohesion scale so these two respondents were removed from all further analysis (leaving the number of respondents at 1 22). Prior to computing the scales, missing values (items which individuals failed to respond to) were imputed. First the responses to the five scales (cohesion, friendship, commitment, satisfaction and intention to leave) from all remaining respondents were placed into separate SPSS files. Following this, the inversely worded items from the various scales were reversed2 1 . Finally, missing values for each scale were imputed using the 'missing value analysis' option in the analyse menu of SPSS, which fills in (imputes) missing values with estimated values using regression22. 3.3.2 Factor Analysis There is the possibility of some overlap in the constructs measured by the questionnaire in the current study. If this were the case it would "force" a relationship between variables. Exploratory factor analysis was carried out to verify that the measures were both internally coherent and conceptually and empirically distinct from each other. Because overlap in constructs is only likely for conceptually similar variables, the three measures of relationship quality (workplace friendships, measure of work group cohesion and the dual role tension questionnaire) were factor analysed together, as were the three outcome variables (organisational commitment, job satisfaction and intention to leave). 21 Inversely worded items �ere; item 1 2 of the workplace friendship scale, item 4 of the dual role tension questionnaire, and items 3, 7, 9, 1 1 , 12 and 15 of the organisational commitment questionnaire. 22 There were few missing values in these scales. Eighteen values in total were missing; three from the cohesion scale, two from the friendship scale, four from the commitment scale, nine from the satisfaction scale and none from the intention to le.ave scale. 83 Hospital Study Relationship-quality measures (friendship, cohesion and dual role tension measures) The friendship, cohesion and dual role tension measures from the questionnaire were factor analysed together. As stated above, it is possible that the scales tap into similar constructs, so the analysis is carried out to ensure that the scales are internally coherent and also distinct from the other relationship-quality measures. The 27 items (i.e., a 1 2 item Friendships scale, a 6 item Dual Role Tension (Dual Role Tension) scale and a 9 item Cohesion scale) were factor analysed with a maximum likelihood extraction23 and direct oblimin rotation24• The solution was set for 4 factors to represent the four components (i.e. , cohesion, dual role tension, friendship opportunities and friendship prevalence). This four-factor construct was suggested by the scree plot (refer Figure 1 2. 1 ; appendix 1 2), which shows four clear factors. The Kaiser-Meyer-Olkin Measure of Sampling Adequac!S had a value of .83 (higher than the criterion of .7). The resulting matrix accounted for 52.9% of the variance. Most of the items loaded on the hypothesised factor (refer Table 2). For example, all the 'dual role tension' items loaded on one factor, all the items measuring friendship prevalence loaded on one factor and all but one of the items measuring friendship opportunities loaded on one factor. All but two of the cohesion scale items loaded on one factor; items 2 and 3 of the workgroup cohesion scale "My team increases my opportunities for positive social interaction " and "Members of my team help each other out at work when needed" cross-loaded on the friendship prevalence factor. The two cross loading cohesion items measure social support, and presumably tap into much the same construct as the friendship scale does. 23 Maximum likelihood factor analysis, originally introduced by Lawley ( 1 940), was chosen because it is based on a flnn mathematical foundation that allows hypothesis testing when nonnality is assumed (Chen, 2003). Statistical tests using maximum-likelihood estimation, assume that the data are multivariate nonnal (Reise, Wailer, & Cornrey, 2000). Because the data obtained from the likert-type scales in the current study are multivariate normal (in contrast to dichotomously scored items, for example) maximum likelihood factor analysis was appropriate. In addition, Cudeck and O'Dell ( 1 994) state that the properties of the maximum likelihood estimator, especially with regard to estimated standard errors for rotated loadings, have been most completely developed, calling it a "good statistical method." 24 Because the factors may be correlated with one another, direct oblimin was chosen as the rotation method. Direct oblimin is an oblique rotation and was selected over orthogonal rotation, as orthogonal rotation is based on the assumption that the factors are uncorrelated. 25 The Kaiser-Meyer-Olkin measure of sampling adequacy tests whether the partial correlations among variables are small. The measure needs to be higher than the criterion of . 7 to indicate sampling adequacy. 84 Hospital Study, Items 1 , 2 and 3 of the cohesion scale measure social support (Campion et aI . , 1 993), a construct that is also likely to be measured by the friendship scale. The relationship between the cohesion and friendship constructs will be measured, and leaving these items in may force a relationship between the constructs. In order to make the eventual data analysis as conservative as possible, all three were removed. In addition, items 1 and 5 of the workplace friendship scale "I have the opportunity to get to know my co­ workers 11 and "I have the opportunity to develop close friendships at my workplace 1 1 were cross loading between the two friendship factors (prevalence and opportunities) so were also removed. Item 4 of the Dual Role Tension scale had an absolute value less than .3 so was also dropped. The "dropped" items, those that did not load on their hypothesised factor, cross-loaded with other factors or had a factor loading with an absolute value less than .3 are shaded in grey for ease of identification. 85 Hospital Study Table 2: First Pattern Matrix of the Factor Analysis of the Friendship, Cohesion and Dual Role Tension Measures items to be removed are shaded in Dual role tension 2 Dual role tension 1 Dual role tension 3 Dual role tension 6 Dual role tension 5 Workplace Friendship Scale Workplace Friendship Scale Workplace Friendship Scale Workplace Friendship Scale Our relationship would be a lot easier if we were only friends or only work associates instead of being both Overall, the friendship half and the work half of our relationship interfere with each other, creating problems for us Our work relationship and our friendship are often in 872 conflict with one another My friend and I have lowered our expectations about 736 what we expect as both friend and co-worker in order to maintain our relationship . It requires extra effort to maintain both the friendship -,599 side and the work side of our H:;l':1Ll�I11"IWIl In my organisation informally and visit with others Communication among employees is encouraged by my organisation I am able to work with my co-workers to collectively solve problems Informal talk is tolerated by my organisation as long as the work is completed �grMrRt[8]tf.li;�!iitC§;� ]�}l1 'f,Bl�;i;'ii'/F"" ; ' '''RMll''�;f&�'>' i1;t']�iiliW,/'<' ''''f(;"b��'�k';;;-� �!; &;�,� .. 9,HP&=,�.Jy..� .,g� .. AL� _!'tm�'��:l.d�L�i! W orkgroup cohesion 9 Members of my team cooperate to get the work done W orkgroup cohesion 7 Members of my team are very willing to share W orkgroup cohesion 5 W orkgroup cohesion 6 W orkgroup cohesion 8 Workplace Friendship Scale Workplace Friendship Scale Workplace Friendship Scale Workplace Friendship S 1 0 Workplace Friendship 1 2 W orkplace Friendship 1 1 information with other team members about our work No one on my team depends on other team members to do the work for them Nearly all the members of my team contribute equally to the work Everyone on my team does their fair share of the work "�I�ritlThf�W)";�;:St(r��··�If�fl.�eiicrW?lih��N��i,)*76,fiGI"!�;t:�� ; ;l'#."'�i «",;>,_�'.. ,¥k. �iID!1(''''i","Jli&'>'L_ ''m!ili.U,''''��-''W!EM bS12!l.9. Teams enhance the communication among people I have formed strong friendships at work I can confide in people at work I socialise with co-workers outside the workplace I feel I can trust many co-workers a great deal I do not feel that anyone I work with is a true friend ,932 .699 ,6 10 .427 "�� ;l..k . � Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 1 1 iterations. Loadings less than .3 are not shown. 86 � .710 ,710 .666 .646 .640 � t . . m .42 1 m ," , . 8 1 1 .682 .677 .606 .585 .573 III m! ""'M Hospital Study With the 6 "dropped" items not included in the analysis, the solution accounted for 56.4% of the variance, and the items in each scale loaded together as single factors. The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .79. One final item (item 8 of the workgroup cohesion scale) "Teams enhance the communication among people working on the same product/toward the same goals " was cross loading with the workplace friendship scale, so it was also removed. Table 3 shows the final factor analysis, with the solution still set to four factors to represent the four components (friendship prevalence, friendship opportunities, dual role tension and workgroup cohesion). The solution accounted for 57 .464% of the variance, and revealed four distinguishable factors representing the four scales. The scree plot for the final factor analysis is shown in Figure 12 .2, appendix 1 2. The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .80. 87 Hospital Study Table 3: Final Pattern Matrix of the Factor Analysis of the Friendship, Cohesion and Dual Role Tension Measures Scale Item Dual role tension 2 Dual role tension I Dual role tension 3 Dual role tension 6 Dual role tension 5 W orkgroup cohesion 5 Workgroup cohesion 4 Workgroup cohesion 7 Workgroup cohesion 6 Workgroup cohesion 9 Workplace Friendship Scale 7 Workplace Friendship Scale 9 Workplace Friendship Scale 8 Workplace Friendship Scale 1 0 Workplace Friendship Scale 1 1 Workplace Friendship Scale 1 2 Wordinl! Factor Our relationship would be a lot easier if we were only friends or only work associates instead of being both Overall, the friendship half and the work half of our relationship interfere with each other, creating problems for us Our work relationship and our friendship are often in conflict with one another My friend and I have lowered our expectations about what we expect as both friend and co-worker in order to maintain our relationship It requires extra effort to maintain both the friendship side and the work side of our relationship No one on my team depends on other team members to do the work for them Everyone on my team does their fair share of the work Members of my team are very willing to share information with other team members about our work Nearly all the members of my team contribute equally to the work Members of my team cooperate to get the work done I have formed strong friendships at work I can confide in people at work I socialise with co-workers outside the workplace I feel I can trust many co-workers a great deal Being able to see my co-workers is one reason I look forward to my job I do not feel that anyone I work with is a true friend 1 -.936 -.929 -.870 -.725 -.592 2 .724 .679 .66 1 .659 .592 3 .760 .7 1 1 .700 .684 .636 .579 4 Workplace Friendship Scale 3 In my organisation I have the opportunity to talk -.885 informally and visit with others Workplace Friendship Scale 4 Conununication among employees is encouraged by -.7 1 8 my organisation Workplace Friendship Scale 2 I am able to work with my co-workers to collectively - .614 solve problems Workplace Friendship Scale 6 Informal talk is tolerated by my organisation as long -.43 1 as the work is completed Extraction Method: Maximum Likelihood. Rotation Method: Oblirnin with Kaiser Normalization. Rotation converged in 9 iterations. Loadings less than .3 are not shown. Table 3 clearly shows that all of the remaining items loaded on the expected factor, indicating that the scales are both internally coherent, and distinct from each other. The Cronbach's alpha reliability estimates of the friendship opportunities, friendship prevalence, dual role tension and cohesion subscales are all acceptable, (a = .76, .86, .91 and .82 respectively). The resulting scales were used in all subsequent analyses by obtaining a mean score on each scale for all respondents. 88 Hospital Study Outcome variables (organisational commitment, job satisfaction and leaving intention) An exploratory factor analysis on the three outcome measures (organisational commitment, job satisfaction and leaving intention) was performed. As with the relationship-quality measures (above), it is possible that the three scales measuring organisational outcome variables would tap into similar constructs, so the analysis was carried out to ensure that the scales are internally coherent and also distinct from each other. The 33 items (i.e., a 1 5 item Organisational Commitment Questionnaire, a 1 5 item Job Satisfaction Scale and a 3 item Intention to Leave Scale) were factor analysed with a maximum likelihood extraction and direct oblimin rotation. Because the scree plot indicated three factors (refer Figure 1 2. 3 ; appendix 1 2), the solution was set to three factors reflecting the three components (satisfaction, commitment and leaving intention). The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .89. The resulting matrix accounted for 42.59% of the variance. Most of the items .loaded on the hypothesised factor, thus yielding a reasonably interpretable simple structure (refer Table 4). For example, all the Organisational Commitment items loaded on one factor, all the Intention to Leave items loaded on one factor and all but four Job Satisfaction items loaded on one factor. Item 3 of the Job Satisfaction Scale measures satisfaction with relationships in the workplace (rate your satisfaction 'with "your fellow workers"). Leaving this item in may partially force a relationship between the ' Job Satisfaction' and 'Friendships in the Workplace' constructs. In order to make the eventual data analysis as conservative as possible, item three was removed. Items (4, 9 and 1 1 ) from the Organisational Commitment Questionnaire measure the respondents' intention to remain in their current jobs, and tap into the same construct measured by the Intention to Leave scale. Organisational Commitment may be one predictor of intention to leave; if intention to leave is measured within the organisational commitment scale it will artificially increase the link between them, i .e . , will force a relationship as above. Thus, in order to measure Organisational Commitment and 89 Hospital Study Intention to Leave cleanly and separately, items 4, 9 and 1 1 of the Organisational Commitment Questionnaire were removed (refer Table 4) . An examination of th� individual items revealed that items 2, 1 0 and 1 2 of the Job Satisfaction Scale cross-loaded onto the Organisational Commitment factor. In addition, item 3 of the Organisational Commitment Questionnaire and items 1 6, 1 and 1 4 had absolute values less than .3 . These seven were dropped. Again, the "dropped" items (i.e., those that did not load on their hypothesised factor, cross-loaded with other factors or had a factor loading with an absolute value less than .3) are shaded in grey for ease of identification. 90 Hospital Study Table 4: First Pattern Matrix of the Factor Analysis of the Satisfaction, Commitment and Intention Measures items to be removed are shaded in Organisational Commitment 1 I describe this organisation to my friends as a great organisation to work for Organisational Commitment 6 I am proud to tell others that I am part of this .849 organisation Organisational Commitment 1 4 For me this is the best o f all possible organisations for .79 1 Organisational Commitment 10 Organisational Commitment 5 Organisational Commitment 8 Organisational Commitment 2 Organisational Commitment 1 5 Organisational Commitment 7 Organisational Commitment 1 2 Intention to leave 3 Intention to leave 1 Intention to leave 2 Job Satisfaction Scale 9 Job Satisfaction Scale 4 Job Satisfaction Scale 6 Job Satisfaction Scale 5 Job Satisfaction Scale 1 1 Job Satisfaction Scale 1 3 Job Satisfaction Scale 7 �� Job Satisfaction Scale 1 5 which to work I am extremely glad that I chose this organisation to work for over others I was considering at the time I joined I fInd that my values and the organisation's values are very similar This organisation really inspires the very best in me in the way of job performance I am willing to put in a great deal of effort beyond that normally expected in order to help this organisation be successful Deciding to work for this organisation was a defInite mistake on my part . , . . I could just as well be working for a different organisation as long as the type of work was similar Often, I find it difficult to agree with this organisation's policies on important matters relating to its employees I really care about the fate of this organisation ��lt��a.9mtmf��'I _� �(fef�E"'�.4�;l;:Fil'�1i1i��!l!1;Q;�' .' � �,,�tllJ'ii I will probably look for a new job in the next year How likely is it that you will actively look for a new job in the next year I often think about quitting Your opportunity to use your abilities The recognition you get for good work The amount of responsibility you are given Your immediate boss Your chances of promotion The attention paid to suggestions you make Your rate of pay �l-'illJ The amount of variety in your job .735 .684 .553 .508 .502 .42 1 .337 .32 1 �'!'J � .863 .848 .361 Extraction Method: Maximum Likelihood. Rotation Method: Ob1imin with Kaiser Normalization. Rotation converged in 1 6 iterations. Loadings less than .3 are not shown. 9 1 .376 . 802 .784 . 683 .632 .580 .483 .469 ID . 378 Hospital Study A second factor analysis (with the above 1 1 items dropped) accounted for 5 1 .533% of the variance, and revealed three distinguishable factors representing the three scales. The scree plot for the final factor analysis is shown in Figure 12.4, appendix 1 2. The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .89. Only item 13 of the job satisfaction scale and item 8 of the Organisational Commitment Questionnaire were cross loading with other factors. They were also dropped. Table 5 shows the final solution, which accounted for 50.983% of the variance, and revealed three distinguishable factors representing the three scales. The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .87. 92 Hospital Study Table 5: Final Pattern Matrix of the Factor Analysis of the Satisfaction, Commitment and Leaving Intention Measures Scale Item Intention to leave 3 Intention to leave 1 Intention to leave 2 Organisational Commitment 1 Organisational Commitment 6 Organisational Commitment 14 Organisational Commitment 5 Organisational Commitment 1 0 Organisational Commitment 1 5 Organisational Commitment 2 Organisational Commitment 7 Organisational Commitment 13 Organisational Commitment 1 2 Wording Factor I will probably look for a new job in the next year How likely is it that you will actively look for a new . job in the next year I often think about quitting I describe this organisation to my friends as a great organisation to work for I am proud to tell others that I am part of this organisation For me this is the best of all possible organisations for which to work I fmd that my values and the organisation's values are very similar I am extremely glad that I chose this organisation to work for over others I was considering at the time I joined Deciding to work for this organisation was a definite mistake on my part I am willing to put in a great deal of effort beyond that normally expected in order to help this organisation be successful I could just as well be working for a different organisation as long as the type of work was similar I really care about the fate of this organisation Often, I find it difficult to agree with this organisation's policies on important matters relating to its employees 1 2 3 -.966 - .85 1 -.384 .867 .855 .792 .754 .735 .550 .5 17 .358 .33 1 .309 Job Satisfaction Scale 9 Your opportunity to use your abilities .862 Job Satisfaction Scale 6 The amount of responsibility you are given .738 Job Satisfaction Scale 4 The recognition you get for good work .634 Job Satisfaction Scale 1 1 Your chances of promotion .566 Job Satisfaction Scale 5 Your immediate boss .454 Job Satisfaction Scale 7 Your rate of pay .4 14 Job Satisfaction Scale 1 5 The amount of variety in your job .377 Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 8 iterations. Loadings less than .3 are not shown. The Cronbach's alpha reliability estimates of the organisational commitment, job satisfaction and intention to leave subscales were acceptable, a.'s = .87, .83 and .82 respectively, indicating the items used are sufficiently homogeneous with respect to the construct they measure. The finding that the Organisational Commitment Questionnaire items loaded together as one factor is consistent with Mowday et al. (1 979) who also found that factor analysis of the Organisational Commitment Questionnaire items resulted in a single factor solution. With respect to the Job Satisfaction Scale, although WaIT et al. ( 1 979) found, using cluster analysis, that items clustered together into 93 Hospital Study intrinsic and extrinsic satisfaction subscales; factor analysis in the current study indicated that the items on the Job Satisfaction Scale generally loaded together as one factor. The resulting scales were used in all subsequent analyses. The items that loaded together as factors (as indicated by the factor analyses) were combined into new scales. Following this, the new files, and scale scores (the mean for each scale) were calculated for each respondent. This was the data used to test the model using path analysis. To further test the validity of the measures and to illustrate the relationships between them, Table 6 shows the correlations between the scale scores of the remaining composite items in each measure, all hypothesised correlations are significant and in the expected direction. Table 6: Correlations between Measured Variables : Hospital Study rganisational Friendship Friendship Cohesion Job Satisfaction ommitment prevalence opportunities Friendship prevalence . 1 6 Friendship opportunities .36** .37** Cohesion .23* .32** Job Satisfaction .63** . 1 2 Intention to leave .45** -.23* * * Correlation is significant at ±1 .96 are statistically significant. Parameter estimates and standard errors are also shown, along with the standardised regression weights and the probability level (p)' indicated in Figure 12 . The test statistics of interest in Table 7 are the critical ratio (C.R.) and the probability level. The critical ratio operates as a z-statistic in testing that the estimate is statistically different from zero. Based on a probability level of .05, the test statistic needs to be >±1 .96 to achieve statistical significance (Byrne, 200 1 ). The probability level in the final column indicates the likelihood that the tested relationship would have occurred by chance. Thus, values less than .05 indicate a significant relationship. From Table 7, the paths from 'cohesion -7 organisational commitment' and ' cohesion -7 intention to leave' are shown to be non significant, both because the critical ratio for these relationships is less than ±1 .96, and because the probability level is greater than .05 . Although the critical ratio for the relationship 'friendship prevalence -7 intention to leave' is also slightly smaller than ± 1 .96, the probability level (p < .05) suggests that the relationship between the two variables is significant. In addition, when Model 1 is respecified with the non-significant regression paths removed, the critical ratio for the 'friendship prevalence -7 intention to leave' path is more than ±1 .96 (refer Table 8; showing the results of the analysis for Model 1 ) . Thus the 'friendship prevalence -7 intention to leave' path is reported as being significant and is included in the graphical representation of the path analysis (Figure 12). 96 Hospital Study Table 8: Showing Critical Ratio Values (parameter estimate divided by standard error) of the Regression Paths in Model 1 When Specified with Non-Significant Regression Paths Removed Regression Path CR. Estimate S.E. StandReg p wei ht Friendship -7 Job Satisfaction 3 .222 .934 .290 .287 .006 Opportunities Cohesion -7 Job Satisfaction 3 . 1 99 .656 .205 .278 .028 Friendship -7 Friendship 3 .036 .556 . 1 83 .274 . 1 20 Opportunities prevalence Cohesion -7 Friendship 2.723 .355 . 1 3 1 .24 1 .029 prevalence Job Satisfaction -7 Org Commitment 8 .9 14 .863 .097 .646 .032 Job Satisfaction -7 Intention to leave -2.560 - . 1 77 .069 -.27 1 .030 Org Commitment -7 Intention to leave -2.656 -. 134 .050 -.273 .026 Friendship prevalence -7 Intention to leave - 1 . 963 -. 1 66 .085 -. 1 59 .044 C.R values >± 1 .96 are statistically significant. Parameter estimates and standard errors are also shown, along with the standardised regression weights and probability level (p). Figure 1 2 shows the standardised regression weights and the level of significance of the relationships26. Dashed lines indicate that the regression between two variables is not significant at the .05 level of significance. 26 The potentially moderating effect of dual role tension cannot be tested in this analysis, as the number of respondents for whom this was relevant was too small. The 'negative relationship' variable was not included in this path analysis because 'peer type' data were dichotomous. The analysis of the negative relationship data is described in section 3 .3 .4 . 97 v1 Friendship opportunities 0.230 l...-_...-_-' 0.314 (p20 years 20-29 years 30-39 years 40-49 years 50-59 years Over 60 years Country of origin New Zealand U.S .A. United Kingdom Australia Canada Other (6 missing) (6 missing) (5 missing) Frequency (n) 127 279 8 150 1 1 6 70 57 5 277 52 33 20 5 20 Valid percent 3 1 .3 67.7 2.0 37.0 28.6 1 7.2 14.0 1 .2 68 . 1 12 .8 8 . 1 4.9 1 .2 4.9 Note: Values are presented in percentages excluding respondents who declined to answer 1 22 Internet Study Industry There was variety in the kinds of industries/sectors in which the respondents reported working. This infonnation is summarised in Table 1 0. The largest reported sector was tertiary education (uniyersities and polytechnics, n = 92), the reason that a large number of respondents were from the tertiary sector is that many of the people who were initially sent the email invitation to participate in the research were from universities, and they would have passed it on to friends and colleagues also likely to work in tertiary institutions. In addition, academics are perhaps more likely to be willing to participate in research, most having had to recruit respondents themselves at some stage. The second largest reported industry was health care (including psychology, psychiatry and physiotherapy, n = 53) . Again many of the people in the initial mail-out were from the health sector. The IT industry also provided a large number of respondents (n = 34). It is possible that the large response from those in the IT sector reflects the mode of data collection. Linking to an Internet site and completing an online questionnaire would, perhaps, be something people who spend much of their day online would be relatively more willing to do. There were 78 individuals who either did not respond to this question, or who reported an industry that did not fit into any of the categories. Table 10 : Industry of Respondents lndust Tertiary education IT rr elecommunications Health F inancel Accounting Government Legal HRlHR consultancy Research Manufacturing 'Other education Retail Marketing Publishing Insurance Real Estate MilitarylDefense OtherlMissing 123 n) Percent 22.3 8.3 1 2.9 7.3 5 . 1 3 .6 3.4 3 .4 2.7 2.7 2.2 2.2 1 .9 1 .7 .7 .7 8 1 . 1 1 8 .9 1 00.0 Valid Percent 27.5 1 0.2 1 5 .9 9.0 6.3 4.5 4.2 4.2 3.3 3.3 2.7 2.7 2.4 2 . 1 .9 .9 1 00.0 Internet Study Job type As there were no exclusion criteria (other than having a job) the variety in responses to the question asking what job type individuals has was almost as wide as the number of respondents. A complete list of answers is provided in appendix 1 7 . Respondents were from almost every type of profession, from medical doctors, to secretaries, to academics, to police. 4.2.2 Materials In addition to the tools used for the Hospital Study (described fully in Chapter Three), there were two additions to the questionnaire: The Needs Assessment Questionnaire (Heckert et aI . , 2000) (refer appendix 1 6 for the items in the Needs Assessment Questionnaire), and two questions assessing the interdependence of respondents' jobs. The factor analysis of the Needs Assessment Questionnaire is described in this chapter, along with the factor analyses of the other scales (refer section 4.3 . 1 ), but because it is not used in the analysis of the data in the current study, and is relevant to the research questions in the next study, the Needs Assessment Questionnaire is described along with the interdependence questions in Chapter Five (refer section 5 .2.2). 4.2.3 Procedure Initially, 68 individuals (friends and acquaintances) were sent an email inviting them to complete an online questionnaire, which included a link to the data collection site (www.studentresearcher.com). They were encouraged to pass it on to friends and colleagues. In addition, two emai1 lists, Emonet (a list of academics and practitioners in the field of emotions in organisations) and IOnet (a list of Industrial Organisational psychologists in New Zealand) were sent the email. Once at least 400 people had submitted responses to the database through the Internet site, the data were downloaded and used (the final number of respondents used for this study was 4 1 2) . 124 4.3.1 Factor Analysis 4.3 Analysis and Results Internet Study Prior to beginning the factor analysis and subsequent structural equation modelling (SEM) the data had to be "cleaned." Initially the word answers given by respondents (e.g., "strongly disagree" to "strongly agree") were converted to numbers (y.g., the 1 to 5 likert scale) and transferred into the statistical programme SPSS. Following this, the inversely worded items from the various scales were reversed32 . The scales were then saved as separate files in SPSS and missing items were imputed, using the 'missing value analysis' feature of the programme33 . Finally the scales were recombined into a master document and, using the data from the newly formed master document (n = 4 12), each of the scales was factor analysed. Exploratory factor analysis (EF A) was utilised in order that the psychometric properties of the set of scales used in the current study could be ascertained. Although the scales used were previously validated (Campion et al. , 1 993 ; Mobley, 1 977; Mowday et al. , 1 979; Nielsen et al., 2000; Warr et al . , 1 979), the samples used by the original authors are likely to be somewhat different from the group of individuals who responded in the current study. Thus, it is necessary to validate and, if necessary, adapt these original scales for use with this new sample. After the EF A, confirmatory factor analysis (CF A) was carried out in order to confirm the factor structure of the measurement models used. Froman (2001 ) states that CFA is best accomplished on a data set independent of the initial EF A, and suggests dividing the data pool into two, with responses from half the subjects being used for the EF A, and the other half for the CF A. The data were divided into two groups prior to the factor analysis, using the ' select random cases' feature of SPSS and resulted in two new data sets : Random Group 1 (n = 2 1 5) and Random Group 2 (n = 1 97). 32 Inversely worded items were; item 12 of the workplace friendship scale, item 4 of the dual role tension questionnaire, items 3, 7, 9, 1 1 , 1 2 and 1 5 of the organisational commitment questionnaire, items 8, 1 4 and 1 8 of the needs assessment questionnaire and the second interdependence question. 33 The percentage of missing values from each scale are as follows: Cohesion Scale (4.4%), Interdependence questions ( 1 .4%), Intention to Leave questions ( 1 .2%), Needs Scale ( 1 .3%), Organisational Commitment Questionnaire ( 1 .3%), Job Satisfaction Scale ( 1 .4%), Workplace Friendship Scale (0.7%). 1 25 Internet Study The general procedure used in the analysis for each scale was to perform EF A, using Random Group 1 , in SPSS to ascertain the number of factors and the loadings of the items to the various factors for each scale. Items that were cross loading or had very small factor loadings were removed. Following this exploratory factor analysis, the factors within the scales were confinned in AMOS, using Random Group 2, by creating measurement models of the scales. Assessment of model fit was based on multiple criteria, reflecting statistical, theoretical and practical considerations (Byrne, 200 1 ). Pedhazur ( 1 982) points out that there have been numerous articles, both criticising existing indices and proposing new ones. Although there is little agreement about the value of various fit indices, Pedhazur states that there does seem to be unanimity that no single fit index should be relied upon; and that just as model formulation should be theory driven, so must theory and substantive considerations play a part in model evaluation; " . . . the test statistics and fit indices are very beneficial, but they are no replacement for sound judgement and substantive expertise" (Pedhazur, 1 982, p.832). The indices used in the current study were (a) the X2 likelihood ratio statistic, (b) the Comparative Fit Index (CFI: Bentler, 1 990), the Parsimonious Comparative Fit Index (PCFI : Mulaik et aI. , 1 989), and (c) the Root Mean Square Error of Approximation (RMSEA: Browne & Cud eck, 1 993). The CFI is a revised version of the Bentler-Bonnet (Bentler & Bonett, 1 980) normed fit index that adjusts for degrees of freedom. It ranges from zero to 1 .00 and provides a measure of complete covariation in the data; a value >.90 indicates a good fit to the data (B yrne , 1 994, 2001 ) . The PCFI is calibrated from the CFI; it weighs the parsimony of the model against its use of the data in achieving goodness of fit. Mulaik et al. caution that PCFI values are often lower than what is generally considered acceptable on the basis of normed indices of fit; goodness of fit indices in the .90s accompanied by PCFI indices in the 50s are not unexpected. Byrne (200 1 ) maintains that the RMSEA is one of the most informative indices in Structural Equation Modelling, stating; "the RMSEA . --.. takes into account the error of approximation and asks the question, 'How well would the model, with unknown but optimaUy chosen parameter values, fit the population 1 26 Internet Study covariance matrix if it were available? ' " (p. 84). The RMSEA is sensitive to the complexity of the model; values less than .05 indicate excellent fit, and values less than .08 represent an adequate fit. Where the fit indices did not indicate a good fit to the model, the modification indices34 and expected change statistics related to the covariances for each model were inspected for evidence of misspecification associated with the pairings of items. Large modification indices represent misspecified error covariances, indicating systematic, rather than random measurement error in item responses. Systematic error can derive from characteristics specific to the items or the respondents. Alternatively, a high degree of overlap in item content can trigger correlated errors. Correlated errors occur when two items, although worded differently, ask the same question (Byme, 200 1 ). Thus, if there was evidence that the model was misspecified, the "problem" items (i.e., those which had overlapping content with other items) were first examined to ascertain if there was a substantive justification for removal and, if there was, the items were removed in a post hoc analysis and the model respecified without the items. Finally the measurement models were run again using the whole data set and overall fit indices were ascertained. Workplace Friendship Scale EFA in SPSS: The workplace friendship scale was factor analysed in SPSS with the solution set to two factors to refleCt the workplace friendship opportunities and the workplace friendship prevalence subscales. The initial pattern matrix is shown in Table 1 1 . 34 Modification indices are a measure of model misspecification; a large MI would argue for the presence of factor cross-Ioadings. 1 27 Internet Study Table 1 1 : Initial Pattern Matrix for the Workplace Friendship Scale (items to be removed are shaded in Scale Item Wording Factor Friendship Friendship Workplace Friendship Scale 7 Workplace Friendship Scale 8 Workplace Friendship Scale 1 2 . Workplace Friendship Scale 1 1 :Wori%lafd'Ffiefiasm""Sc�16� ;..,. ... _ ... _� ... : __ . _ ...... _�� _� ....... _p:>-... _t<.) ..... � . • �, Workplace Friendship Scale 1 Workplace Friendship Scale 2 Workplace Friendship Scale 4 Workplace Friendship Scale 3 Workplace Friendship Scale 5 I have formed strong friendships at work I socialise with co-workers outside the workplace I do not feel that anyone I work with is a true friend Being able to see my co-workers is one reason I look forward to my job �ii(b]iill�)!i;�§Pl��f@2iM I have the opportunity to get to know my co-workers I am able to work with my co-workers to collectively solve problems Communication among employees is encouraged by my organisation In my organisation I have the opportunity to talk informally and visit with others I have the opportunity to develop close friendships at Extraction Method: Maximum Likelihood. Rotation convt:rged in 8 iterations. Loadings less than .3 are not shown. Prevalence .856 .807 .708 .6 1 1 . 54 1 .525 . 5 14 Items that were cross-loading (item 9 and 1 0) were removed, along with item 6 which had a small factor loading (less than .3). The "dropped" items, those that did not load on their hypothesised factor, cross-loaded with other factors or had an absolute value less than .3 are shaded in grey for ease of identification. The final pattern matrix for the workplace friendship scale is shown below in Table 12 . Scale Item Table 1 2: Final Pattern Matrix for the Workplace Friendsh ip Scale Wording Factor Friendship Friendship Prevalence Opportunity Workplace Friendship Scale 7 I have formed strong friendships at work . 877 Workplace Friendship Scale 8 I socialise with co-workers outside the workplace .787 Workplace Friendship Scale 1 2 I do not feel that anyone I work with is a true friend .698 Workplace Friendship Scale 1 1 Being able to see my co-workers is one reason I .59 1 look forward to my job Workplace Friendship Scale 1 I have the opportunity to get to know my co- . 846 workers Workplace Friendship Scale 2 I am able to work with my co-workers to .763 collectively solve problems Workplace Friendship Scale 5 I have the opportunity to develop close friendships . 520 at my workplace Workplace Friendship Scale 4 Communication among employees is encouraged .476 by my organisation Workplace Friendship Scale 3 In my organisation I have the opportunity to talk .469 informally and visit with others Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 5 iterations. Loadings less than .3 are not shown. 1 28 / Internet Study CFA in AMOS: When the two-factor structure, with the nine remaining items was modelled in AMOS, with friendship opportunities specified as antecedent to friendship prevalence (as friend�hip opportunities are likely to be a necessary condition for friendships to form), the output indicated a poor fit of the model to the data, (CFI = .870, PCFI = .628, RMSEA = . 1 38 ; see appendix 1 8a for complete table of fit indices). On inspection of the modification indices and expected change statistics related to the covariances for this model, there was evidence of misspecification associated with the pairings of item 3 with item 4, as this was the largest modification index value and, as such, represents measurement error covariance. As stated above, measurement error covariance can derive from a high degree of overlap in item content, which occurs when two items, although worded differently, ask the same question (Byme, 200 1 ) . On inspection of the scale items35, it is clear that they tap into the same notion, i .e. , that the organisation allows / encourages talk between workmates. Based on this logical rationale, the model was respecified with item 3 excluded36• In addition, item 5 (a friendship opportunities factor) was cross-loading on to the friendship prevalence variable so it too was removed. Post Hoc Analysis: On removal of items 3 and 5 , the fit indices were improved. The AMOS output for the 7-item friendship model is shown in appendix 1 8b, the CFI = .960, the PCFI = .594 and RMSEA = .088, indicating an adequate fit of the model to the data. When the friendship measurement model was confirmed with the full data set the there was an excellent fit of the model to the data, with the CFI = .974, the PCFI = .603 and RMSEA = .070 (refer appendix 1 8c for the complete table of fit indices). The AMOS diagram for the friendship scale is shown in Figure 1 9. 35 Item 3: In my organisation I have the opportunity to talk infonnally and visit with other Item 4: Communication among employees is encouraged by my organisation 36 Item 3 was chosen because, in addition to having measurement error covariance with item 4, there was also evidence of misspecification associated with the pairings of item 3 with items 2, 1 1 and 7 1 29 Internet Study Figure 1 9: AMOS diagram for friendship scale The items in the two factors are: Factor 1 : friendship opportunities 4. Communication among employees is encouraged by my organisation 1 . I have the opportunity to get to know my co-workers 2. I am able to work with my co-workers to collectively solve problems Factor 2 : friendship prevalence 7 . I have formed strong friendships at work 8. I socialise with coiworkers outside the workplace 1 2. I do not feel that anyone I work with is a true friend (R) 1 1 . Being able to see my co-workers is one reason I look forward to my job Satisfaction Scale . EFA in SPSS: The Job Satisfaction Scale was factor analysed in SPSS using half the data pool, as discussed above. Table 1 3 below, shows the initial pattern matrix for the job satisfaction scale. 1 30 Internet Study Table 13: Initial Pattern Matrix for the Job Satisfaction Scale ( items to be removed are shaded in grey) Scale item Job Satisfaction Scale 8 Job Satisfaction Scale 6 Job Satisfaction Scale 14 Job Satisfaction Scale 10 i9}l�.��.ii§{�c@n::Scaf�J� 12!i,�!�i�f�.t@E�s��s.�i� Job Satisfaction Scale 5 Job Satisfaction Scale 3 iJ oRS�M fu�ti61f .s· .. §££�� Your immediate boss Your fellow workers iTh�'r�C'o�Iti6if'ntr"'e .frgaiHvor� L." . • ", .. ,. __ �gg __ , , __ �.jL _ _ . K .. " .. _._ . , _J� ..... ,_ .. . �" . __ �" . The physical work conditions mie'at enu"Ii�'lt"-U\�·l5:S{f""�:e�'GoliT>'I(jiIw"r� • . . 'u�_ . •• '_.-•.• _�.SLjt_�J�� . �J�gl .. _�.,.�" __ .Ya.AJ.r.l._ .... The freedom to choose your own method of working Your hours of work Your rate of pay Industrial relations between management and workers 1 2 3 . 804 .683 .682 .497 t 6 t 6. I'<.o.-::. ... !"i ;jjg .640 . 6 19 f3'6� _'"i. _ 'J �4;rj .367 � ' . � f.3 · 4... ·.�_ ... ... i ��) �J.:;:'''''' . 3 13 .300 Extraction Method: Maximum Likelihood. Rotation Method: Ob1imin with Kaiser Normalization. Rotation converged in 23 iterations. Loadings less than .3 are not shown. 4 :r.�2� i:.:'_.�....a -.529 -.469 Items that cross-loaded or had values 16ss than .3 were removed; item 1 5 was also removed because it loaded only with item 1 1 , which was to be removed. The dropped items are shaded in grey for ease of identification. In the resulting pattern matrix item 9 cross-loaded across two factors and item 7 loaded by itself as a factor, so they were also removed. The final pattern matrix for the satisfaction scale is shown below in Table 14. Table 14: Final Pattern Matrix for the Job Satisfaction Scale Scale item Wording Factor Intrinsic Extrinsic Job Satisfaction Scale 8 Job Satisfaction Scale 1 4 Job Satisfaction Scale 6 Job Satisfaction Scale 1 0 Job Satisfaction Scale 1 Job Satisfaction Scale 3 Job Satisfaction Scale 5 Job Satisfaction Scale 2 Job Satisfaction Scale 1 3 Your opportunity· to use your abilities The amount of variety in your job The amount of responsibility you are given Your chances of promotion The physical work conditions Your fellow workers Your immediate boss The freedom to choose your own method of working Your hours of work .907 .706 .654 .599 Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 5 iterations. Loadings less than .3 are not shown. .532 .474 .474 .458 .322 The resulting two factors make sense conceptually. The first factor (items 8 , 14, 6 and 1 0) relates to respondents' satisfaction with aspects of the actual job they perform, such as variety and personal fulfilment. Items in the second factor, on the other hand (items 1 , 3 , 5, 2 and 1 3), relate to aspects of work other than respondents' actual job, i.e., interpersonal interactions, hours worked, and the physical work environment. The items 1 3 1 Internet Study in the two factors relate closely to the ' intrinsic' and ' extrinsic' job satisfaction sub­ scales defined by Warr et al. (1 979) when they initially presented the scale. CF A in AMOS: It wa.s hypothesised that extrinsic satisfaction would be antecedent to intrinsic satisfaction. The hypothesised relationship between the two satisfaction factors is derived from Herzberg's (1 966) two-factor satisfaction theory and Maslow's ( 1 954) need hierarchy theory37. An employee' s work environment / conditions may be related to Herzberg's 'hygiene' or physical factors, and until these, more basic, aspects of work are met, the psychological or 'motivating' factors (intrinsic to the work itself) may have little salience. The model is also in line with Maslow's ( 1 954) need hierarchy theory. According to Maslow, physical needs (such as working conditions) must be met before higher order needs (such as a fulfilling work role) will have salience. The resulting output did not indicate a particularly good fit of the model to the data (CFI = .9 1 0, PCFI = .657, RMSEA = .099). See appendix 1 8d for the complete table of fit indices. Item 2 (the freedom to choose your own method of working) was regressing on the intrinsic job satisfaction factor. Conceptually, of the items in the extrinsic factor, item 2 is the only one concerned with the actual job performed, thus it made substantive sense to remove this item from the extrinsic factor and, on doing so, the fit was improved (CFI = .940, PCFI = .638, RMSEA = .085, refer appendix 1 8e for the complete table of fit indices). When the friendship measurement model was confirmed with the full data set the there was an excellent fit of the model to the data, with the CFI = .965, the PCFI = .655 and RMSEA = .061 (refer appendix 1 8f). The AMOS diagram for the satisfaction scale is shown in Figure 20. 37 Refer section 2 . 1 . 2 for a description of Ma slow's and Herzberg's theories. 1 32 Figure 20: AMOS diagram for the job satisfaction scale The items in the satisfaction subscales are as follows: Factor 1 : Satisfaction with aspects of actual job performed (intrinsic). 8. Your opportunity to use your abilities. 14. The amount of variety in your job. 6. The amount of responsibility you are given. 1 0. Your chances of promotion Internet Study Factor 2 : Satisfaction with interpersonal interactions and workplace (extrinsic); 1 . The physical work conditions 3 . Your fellow workers. 5 . Your immediate boss. 1 3 . Your hours of work. 1 33 Internet Study Organisational Commitment Questionnaire EF A in SPSS: Factor analysing the Organisational Commitment Questionnaire in SPSS indicated one factor,. shown clearly in the scree plot below (refer Figure 2 1 ) . Confirmatory factor analysis was performed in AMOS to assess the fit of the one-factor Organisational Commitment model. Scree Plot 10r---------------, " :> 2 � Ii -s. $ oL==:=:=����=!�:::::li!::::::fil:d 1 2 3 .. 5 " 7 8 g 10 11 12 13 14 15 Factor Number Figure 21 : Scree plot for Organisational Commitment Questionnaire CF A in AMOS: The AMOS output for the Organisational Commitment Questionnaire, including all 1 5 items, resulted in an adequate fit, indicated by a CFI of .908, a PCFI of .778 and a RMSEA of .086 (refer appendix 1 8g for the complete table of fit indices). On inspection of the modification indices and expected change statistics related to the covariances for this model, there was, however, evidence of misspecification, indicated by correlated error between items 1 5 and 1 0, items 1 3 and 2 and items 1 4 and 1 1 . These were the largest three modification index values and as such, represent misspecified error covariances. As stated above, measurement error covariances represent systematic measurement error in item responses, often as a result of a high degree of overlap in item content. This seems to be the case for the Organisational Commitment Questionnaire as, on inspection of the item pairings, the three pairs of questions do indeed tap into similar concepts. Items 1 3 and 2 are as follows: 13. I really care about the fate of this organisation 1 34 Internet Study 2. I am willing to put in a great deal . of effort beyond that normally expected in order to help this organisation be successful Both relate to the degree to which respondents are motivated by, or concerned with, the future success of their ·organisation. Items 14 and 1 1 are as follows: 14. For me this is the best of all possible org�nisations for which to work 1 1. There 's not too much to be gained by sticking with this organisation indefinitely. (R) Both relate to respondents wanting to stay with their current organisation. Items 1 5 and 1 0 are as follows: 15. Deciding to work for this organisation was a definite mistake on my part. (R) 1 0. I am extremely glad that I chose this organisation to work for over others I was considering at the time I joined. Both relate to respondents' satisfaction with their decision to accept their current position. Post Hoc analysis: Because of the high degree of overlap in item content in the pairs of questions described above, the model for the Organisational Commitment Questionnaire was respecified with items 2, 1 0 and 1 1 deleted. The resulting fit indices were greatly improved, suggesting a good fit of the data to the model, indicated by a CFI of .953, a PCFI of .780 and a RMSEA of .066 (refer appendix 1 8h for the complete table of fit indices). When the organisational commitment measurement model was confirmed with the full data set the there was an excellent fit of the model to the data, with the CFI = .966, the PCFI = .791 and RMSEA = .061 (refer appendix 1 8i). Figure 22 shows the AMOS diagram of the Organisational Commitment Questionnaire. 1 3 5 Internet Study Figure 22: AMOS diagram for the Organisational Comm itment Questionna i re Cohesion Scale EF A in SPSS: When the cohesion scale was factor analysed in SPSS with the first random sample, there were 2 clear factors (this is supported by the scree plot, Figure 23). Scree Plot F actor Num ber Figure 23: Scree plot for the cohesion scale 136 Internet Study The social support items ( 1 , 2, 3) and communication / cooperation items (7, 8, 9) loaded together as one factor. Workload sharing items (4, 5 , 6) loaded as a separate factor, this is illustrated below in Table 1 5 . Scale Item Item 9 (Communication) Item 1 (Social Support) Item 3 (Social Support) Item 8. (Communication) Item 7 (Communication) Table 15 : Pattern Matrix for the Cohesion Scale Wording Factor Communication I Social Support Members of my team cooperate to get the work done .782 Being in my team gives me the opportunity .75 1 to work as a team and provide support to other team members Members of my team help each other out at .728 work when needed Teams enhance the communication among .654 people working on the same product Members of my team are very willing to .606 share information with other team members about our work Item 2 My team increases my opportunities for .587 (Social Support) positive social interaction Workload SharinK Item 4 Everyone on my team does their fair share of -.8 1 6 (W orkload sharing) the work Item 5 No one on my team depends on other team -.796 (W orkload sharing) members to do the work for them Item 6 Nearly all the members of my team -.653 (W orkload sharing) contribute equally to the work Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 5 iterations. Loadings less than .3 are not shown. CF A in AMOS: When the two factor structure, with all nine items was specified in AMOS with the second random sample, the output indicated only a moderate fit of the model to the data, (CFI = .9 1 0, PCFI = .657, RMSEA = . 1 06; see appendix 1 8j for complete table of fit indices). On inspection of the modification indices and expected change statistics related to the covariances for this model, there was evidence of misspecification associated with the pairings of item 238 with items 1 39 and 940. On inspection of the items it is apparent they all deal with teams improving cooperation and interaction. 38 Item 2 of the cohesion scale is "My team increases my opportunities for positive social interaction." 39 Item 1 of the cohesion scale is "Being in my team gives me the opportunity to work as a team and £rovide support to other team members." o Item 9 of the cohesion scale is "Members of my team cooperate to get the work done." 1 37 Internet Study Post Hoc Analysis : On removal of item 2, which had overlapping content with two other items (1 and 9) in the social support and cooperation factor, the fit indices were greatly improved. The AMOS output for the 8-item cohesion model is shown in appendix 18k, the CFI = .977, PCFI = .663 , and RMSEA = .059, indicating an excellent fit of the model to the data. When the cohesion model was confirmed with the full data set the there was a good fit of the model to the data, with the CFI = .969, the PCFI = .65 8 and RMSEA = .072 (refer appendix 181). The two-factor structure of the cohesion scale is shown in the AMOS diagram in Figure 24. Figure 24: AMOS diagram for cohesion scale The items in each sub-scale are as follows: Factor 1: Social support and cooperation items 1. Being in my team gives me the opportunity to work as a team and provide support to other team members. 3 . Members of my team help each other out at work when needed. 9. Members of my team cooperate to get the work done. 8 . Teams enhance the communication among people working on the same product. 7. Members of my team are very willing to share information with other team members about our work. 138 Factor 2 : Workload sharing items 4. Everyone on my team does their fair share of the work. Internet Study 5 . No one on my team depends on other team members to do the work for them. 6. Nearly all the members of my team contribute equally to the work. Intention to Leave The analysis of the intention to leave variable proved to be somewhat problematic, as because there were only 3 items the scale could not be factor analysed. This latent variable will initially be specified in the subsequent causal models with the original three items. The items in the scale are: 1 . How likely is it that you will actively look for a new job in the next year? 2 . I often think about quitting. 3 . I will probably quit my job in the next year. Needs Assessment Questionnaire EFA in SPSS: The Needs Assessment Questionnaire was factor analysed in spss; the initial pattern matrix is shown below in Table 1 6. Items that cross-loaded or loaded on the wrong factor were removed (these items are shaded in grey). 1 39 Internet Study Table 1 6: In itial Pattern Matrix for the Needs Assessment Questionnaire (items to be removed are shaded in grey) Scale Item Wording Factor Dom All Ach Aut Needs Scale 12 dominance Needs Scale 20 dominance Needs Scale 1 6 dominance N�g�]£�t�?:�li!J2� Needs Scale 1 8 affiliation N�dsTsZ�fe'!I!i�aiimn�'''''' 1 "" �.IJ:.,,� ,,,� � ......... � .. Q!P.M Needs Scale 14 affiliation Needs Scale 1 0 affiliation Needs Scale 6 affiliation "--':�- " ':' _�"� '�?",'t'lf"'P')' ·";'.;.":r?-"'!··�"'''i.::"--:'':--� N�eas-iS£M�J1§ 'l}\! OJ,QJIl),\ Needs Scale 1 achievement Needs Scale 9 achievement Needs Scale ' 5 achievement Needs Scale" 1 3 achievement Needs Scale 17 achievement I seek an active role in the leadership of a group I strive to be "in command" when I am working in a group I find myself organising and directing the activities of others r�:��h(f' :lcir.:-dt1i'mS1aii@f'5itroth�""e�1'e ,�R.���A;!�_� ... =_�_,",�,,-=�_P�,�R.� I try my best to work alone on a work assignment (R) 'fl!i',,-,..;r""':;-"'l'!'"i!, ,' . �5""'Ir�l1!?1�'i:W''''''l��'''''!'1?';:'�'J �;my..t,�r.�. �Ql�&�.h.:lli'�9;;...u,s;lm)k � I prefer to do my own work and let others do theirs (R) When I have a choice, I try to work in a group ��.��:��2ple" person'!>'i''''''''' ''!i1:ns�."",i'''l !l.-;l��9i,\¥.9.Lj��mJ£l�IQgJQ-p';.Hl$� I try to perform my best at work It is important to me to do the best job possible I am a hard worker I push myself to be "all that I can be" I try very hard to improve on my past performance at work .734 .658 .545 .843 � .490 .40 1 .348 �m .704 .702 .608 .579 .435 Needs Scale 1 1 autonomy I would like to be my own boss .582 ''''7l!rdf '� YT� '' '' ' (r?''' ' .,' ":�',Cj it!�� l\�; ;1� ,, 2!Pl�}l£,C; Needs Scale 3 autonomy Needs Scale 7 autonomy flW5\ila��i(l� li'fiR�;�C�v..�6ef'j:t��'81 �w.""".::H� Ydi�. :"" ' .'�'Y"'J!".",.P--..}l . ....... �s I would like a career where I have very little supervision I would like a job where I can plan my work schedule myself � .. �eds,'.�-§.c�8.".·db.Jb.·Tii!ili� �U'f;t'�+""�··��e;r-;;r.·'·""��' -VS���lrrry';'\r�.t:e""'''f'm� _ _ " - ,., "J¥, __ ....... , �o,q':'J" � .. �9L!L.,j��an;·gJ. ,�,,,¥ JI!·,.t;J�:J Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 23 iterations. Loadings less than .3 are not shown. �t� . 5 14 .420 The resulting pattern matrix indicated that item 6 had a small factor loading and was also removed. The final pattern matrix is below in Table 1 7. Table 17 : Final Pattern Matrix for the Needs Assessment Questionnaire Scale item Wording Factor Aff DomAch Aut Needs Scale 18 affiliation Needs Scale 14 affiliation Needs Scale 1 0 affiliation I try my best to work alone on a work assignment (R) -.9 1 3 I prefer to do my own work and let others do theirs (R) -.465 When I have a choice, I try to work in a group instead of by -.4 1 2 myself Needs Scale 1 2 dominance I seek an active role in the leadership of a group Needs Scale 20 dominance I strive to be "in command" when I am working in a group Needs Scale 1 6 dominance I find myself organising and directing the activities of others Needs Scale 9 achievement It is important to me to do the best job possible Needs Scale 1 achievement I try to perform my best at work Needs Scale 5 achievement I am a hard worker Needs Scale 1 3 achievement I push myself to be "all that I can be" Needs Scale 1 7 achievement I try very hard to improve on my past performance at work Needs Scale 3 autonomy I would like a career where I have very little supervision Needs Scale 1 1 autonomy I would like to be my own boss Needs Scale 7 autonomy I would like a job where I can plan my work schedule myself .7 12 .666 .545 Extraction Method: Maximum Likelihood. Rotation Method: Oblimin with Kaiser Normalization. Rotation converged in 1 1 iterations. Loadings less than .3 are not shown. 140 .69 1 .679 .639 .574 .435 .6 14 ,547 .425 Internet Study CFA in AMOS: The four-factor model was specified in AMOS. The AMOS analysis supported four-factor structure with PCFI = .67 1 , CFI = .860 and RMSEA = .07 1 (refer appendix 1 8m for the complete table of fit indices). Although the CFI is a little lower than the criterion for good fit (.9) the other two indices indicate good fit. When the Needs model was confirmed with the full data set the there was an adequate fit of the model to the data, with the CFI = .87, the PCFI = .68 and RMSEA = .07 (refer appendix 1 8n). The measurement model of the Needs Assessment Questionnaire is shown in Figure 25. Figure 25: AMOS diagram for the Needs Assessment Questionnaire The items in each needs factor are as follows: Factor 1 : Affiliation 1 8 . I try my best to work alone on a work assignment. (R) 1 4. I prefer to do my own work and let others do theirs. (R) 1 0. When I have a choice, I try to work in a group instead of by myself Factor 2: Dominance 12 . I seek an active role in the leadership of a group 14 1 20. I strive to be "in command" when I am working in a group 1 6. I find myself organising and directing the activities of others Factor 3 : Achievement. 9 . It is important to me to do the best job possible 1 . I try to perform my best at work 5 . I am a hard worker 1 3 . I push myself to be "all that I can be" 1 7 . I try very hard to improve on my past performance at work Factor 4: Autonomy 3 . I would like a career where I have very little supervision 1 1 . I would like to be my own boss 7. I would like a job where I can plan my work schedule myself Summary offindings: Measurement models Internet Study The fit indices for each measurement model are presented in Table 1 8 . The fit indices for the Needs Assessment Questionnaire are not shown in Table 1 8, as it is not part of the causal model under test. Table 18 : Fit Indices for the Measurement Models: Internet Study Scale Number of X df CFI PCFI RMSEA actors W orkplace friendship scale 2 39.40 Job satisfaction scale 2 48.42 Cohesion Scale 2 59.79 Organisational Commitment Questionnaire 1 1 36.76 1 3 .97 19 .97 19 .97 54 .96 .60 .66 .66 .79 .07 .06 .07 .06 To further test the validity of the measures and to illustrate the relationships between them, Table 1 9 shows the correlations between the composite scores of the items in each measure, all correlations are significant and in the expected direction. 1 42 Internet Study Table 1 9: Correlations between Measured Variables: Internet Study Friendship prevalence Satisfaction with relationships and workplace (extrinsic) Satisfaction with actual job performed (intrinsic) Organisational Commitment Social support and cooperation (cohesion) Workload sharing (cohesion) Intention to leave Friendship Friendship Satisfaction Satisfaction OCQ Social Workload pportunitiesprevalence . with with actual support and sharing . .464** .4 17** .293** .334** . 1 6 1 ** .376** .30 1 ** .500** .302** . 1 53** .097* -.2 17** -. 1 0 1 * interpersonal job cooperation (cohesion) relations and performed (cohesion) wor lace . 5 1 5 ** .636** .596** .505 ** .374** .394** .404** .222** .30 1 ** .497** - .393** -.467* - .545** - . 1 84** -. 148** * * Correlation is significant at the .01 level (2-tailed) * Correlation is significant at the .05 level (2-tailed) The kurtosis values of all the items used on all the scales described above were acceptable and ranged between .05 and 2.67. Table 20 below shows the alpha of each of the subscales used. Table 20: Alpha Levels of the Sub-Scales Scale I Sub-Scale Friendship opportunities Friendship prevalence Job satisfaction (interpersonal / workplace) Job satisfaction (actual job) Cohesion (social support/cooperation) Cohesion (workload sharing) Organisational Commitment Questionnaire Intention to leave scale 4.3.2 Building the Causal Model a .82 .7 1 .73 .80 .83 .8 1 .9 1 .87 Once each measurement model showed good fit, the various latent variables (friendship opportunities and prevalence, the two job satisfaction factors, organisational commitment, the two cohesion factors and intention to leave), their associated observed endogenous items and the hypothesised relationships between them (derived both from previous literature, and from the Hospital Study) were modelled and tested using SEM. The AMOS graphic output for this complete model is very complex so, in the interest of 1 43 Internet Study clarity, it is redrawn below in Figure 26, without the endogenous variables (scale items). Figure 26 shows only the latent variables (indicated by ovals) and all the tested correlations (double headed arrows) and regression weights (single headed arrows). The dashed lines indicate non-significant regression weights. I I I I \ \ \ \ \ \ \ \ \ \ '\ '\ " " " '- '- \ \ \ \ \ \ " \ " \ , \ , \ " \ , \ , \ , , \ , \ , \ ", \ Figure 26: The causal model tested for the Internet Study (latent variables only) As in the Hospital Study, the regression paths from friendship opportunities and both cohesion variables to organisational commitment were non-significant. Again j ob satisfaction appears to mediate these relationships (which significantly correlated at the 144 Internet Study bivariate level) . That is to say, although the friendship opportunities and cohesion variables were significantly correlated with organisational commitment (p < 0.0 1 ), the relationships between these variables appear to be mediated by job satisfaction. This implies that if an individual has a cohesive work environment or perceives their workplace to provide friendship opportunities, they will likely be more satisfied with their job and, if an increase in satisfaction results from the presence of cohesion or friendship opportunities, organisational commitment will also increase. The path from ' satisfaction with interpersonal interactions / work environment' to ' intention to leave' was also non-significant, suggesting that the relationship between these two variables is mediated by the second satisfaction factor (satisfaction with the j ob itself). That is, satisfaction with extrinsic aspects of the job will be significantly related to intrinsic job satisfaction, which will, in turn, directly impact on an individual ' s leaving intention. This implies that if an individual reports satisfaction with interpersonal interactions / work environment, this may only impact their leaving intentions if they are also satisfied with aspects of the job itself. In addition, the paths from 'cohesion' to ' friendship prevalence' and from 'friendship prevalence' to ' intention to leave' (significant in the Hospital Study) were found not to be significant in the current study (although, again, they were significantly correlated at the bivariate level). The change in the model when the seven non-significant paths described above (and shown with dashed lines in Figure 26) was not significant (!::.X2 ( 7 ) = 1 1 .6). Non-significant parameters can be considered unimportant to the model, and Byme (2001 ) states that, in the interest of scientific parsimony, they should be deleted. 4.3.3 Statistical Significance of the Model Significance of regression weights The final causal model, named Model 2, showing only the latent variables and the significant regression weights, is presented in Figure 27. In the interest of parsimony the model was respecified without the non-significant paths, and the indices of fit provided are those resulting from the model having been respecified with the non- 1 45 Internet Study significant parameters deleted. The standardised regresslOn weights or correlation coefficients are shown alongside each path (refer appendix 1 9 for the AMOS output of these values). All the paths shown are significant at the .05 level. Friendship opportunities .20 Organisational commitment Figure 27: Model 2, SEM results of Internet Study One way to ascertain significance of a regression path or correlation is by looking at the critical ratio ( C . R . )4 1 ; because all the critical ratio values for the regression weights and correlations shown are greater than ±1 .96, it is possible to conclude that all the paths 41 Based on a level of .05, the test statistic needs to be >±1 .96 before we can be sure the relationship between two variables is statistically significant (Byrne, 200 1 ). 1 46 Internet Study shown are significant at the .05 level. The standardised regression weights and critical ratios for each regression path and correlation are presented in Table 2 1 , below. Table 21 : Showing Critical Ratio Values (parameter estimate divided by standard error) of the Regression Paths in Model 2 When Specified with Non-Significant Regression Paths Removed Regression Path I Correlation CR. Estimate S.E. Stan, Reg wei l Friendship Opportunities -7 Friendship Prevalence 9.48 0.97 . 1 0 Friendship Opportunities -7 Satisfaction with relationships / 3 .79 0.59 . 1 6 work environment (extrinsic) Cohesion (social support) -7 Satisfaction with relationships / 4.69 .74 . 1 6 work environment (extrinsic) Cohesion (workload sharing) -7 Satisfaction with relationships / 3 .34 .33 . 10 work environment (extrinsic) Satisfaction with relationships / -7 Satisfaction with job itself 8 . 1 0 .50 .06 work environment (extrinsic) (intrinsic) Satisfaction with relationships / -7 Organisational Commitment 7.89 .59 .08 work environment (extrinsic) Satisfaction with job itself -7 Organisational Commitment 6.28 .47 .08 (intrinsic) Satisfaction with job itself -7 Intention to leave -4.08 - .53 . 1 3 (intrinsic) Organisational Commitment -7 Intention to leave -5.74 - .56 . 1 0 Cohesion (social support) f--7 Cohesion (workload sharing) 9.28 .45 .05 Cohesion (social support) f--7 Friendship Opportunities 7.44 .22 .03 Cohesion (workload sharing) f--7 Friendship Opportunities 3 .24 . 1 2 .03 C.R. values >±1 .96 are statistically significant. Parameter estimates and standard errors are also shown, along with the standardised regression weights and correlations. Statistical significance of the model as a whole The hypothesised model can be tested statistically to ascertain whether or not it is consistent with the data. If there is an adequate goodness of fit it is possible to argue for the existence of the proposed relations between variables. Consistency of the model with the data does not constitute proof of a theory (or theoretical model); instead it lends support to it (Pedhazur, 1 982). Table 22 shows Chi Square, degrees of freedom and the relevant goodness of fit statistics for Model 2. Although these indices of fit have been described previously, they are outlined briefly again below, along with an interpretation regarding whether the model fits the data. The complete table of fit indices is given in appendix 20. 1 47 . 56 .25 .42 .24 .57 .52 .37 -.2� -.3� .64 .51 .20 Int/ex affit Value Internet Study Table 22: Fit Indices for the Causal Model : Internet Study ;t t/f CFI PCFI RMSEA Low 90 High 90 Hoelter .01 1 30 1 6 1 7 .90 .83 .055 .05 1 .059 2 l O The comparative indices o f fit (CFI and PCFI) are based on a comparison o f the hypothesised model against a "baseline model or null model" (Byrne, 2001 ). The CFI is a revised version of the normed fit index (NFI) (which, Byrne states, has a tendency to underestimate fit in small samples). Unlike the NFI, the CFI takes sample size into account. Values for CFI range from zero to 1 .00 with values close to 1 .00 being indicative of good fit; a cut-off value of .90 is advised for a model to be considered well fitting (Byrne, 200 1 ). As shown in Table 22 the value of the CFI is .90, indicating the hypothesised model represents a good fit to the data. The PCFI (parsimony-adjusted comparative fit index) addresses the issue of parsimony in structural equation modelling. The PCFI takes into account the complexity (number of parameters) in the hypothesised model, as well as the goodness of fit, in the assessment of the model fit. Typically parsimony-based indexes have lower values than are considered acceptable for other normed indices of fit, as such, the value of .83 is high, and indicates the model is both well fitting and parsimonious. The root square mean error of approximation (RMSEA) is sensitive to the complexity of the model and values less than .05 indicate excellent fit, while values less than .08 represent a good fit. Confidence intervals are used to assess the precision of RMSEA estimates; AMOS reports a 90% confidence interval around the RMSEA value (Low 90 and High 90). Confidence intervals yield information about the precision of the estimate. Looking at Table 22 we see that the RMSEA for the model is .056, which indicates a good fit. The confidence interval for the model is narrow (ranging from .05 1 to .059) which indicates that the estimate is precise. The last goodness of fit statistic appearing in the AMOS output is Hoelter' s critical N (labelled HOELTER). Hoelter' s critical N focuses on the adequacy of the sample size rather than on model fit. Its purpose is to estimate the sample size that would be sufficient to yield an adequate model fit for a X 2 test. Hoelter ( 1 983; cited in Byme, 1 48 Internet Study 200 1 ) proposed that a value of 200 is indicative of a model that adequately represents the sample data. As shown in Table 22 the .01 critical N value for the hypothesised model was 2 1 0, which allows us to conclude that the size of the sample (n = 412) was satisfactory. Taken together, the goodness of fit statistics reported in this section, indicate that the proposed model is a good fit to the data. 4.3.4 Other Research Questions Gender comparisons Research Question 4 asked: "Are friendship variables differently correlated with other organisational variables, for men and women?" Once each scale was adequately factor analysed and showed good fit, Pearson's correlations were calculated between the various subscales, first for the whole sample, and then for males and female separately. When the correlations between variables were calculated for the whole sample all subscales were significantly correlated with all other sub-scales in the expected direction. When the correlations between variables were calculated for male and female respondents separately, however, some interesting variations emerge. Table 23 shows only those correlations where the measured variables were differentially correlated for men and women 42 . Table 23: Correlations between Subscales, Showing those where Measured Variables are Differentially Correlated for Men and Women Correlation Friendship prevalence with Intention to leave Friendship opportunities with Intention to leave Cohesion soc�"� o� er�tio�) ,with I�t��tion t� leave • 20 years 10 2 .3 20-29 years 168 38 .5 30-39 years 1 2 1 27.8 40-49 years 75 17 50-59 years 57 1 3 .3 Over 60 years 5 1 . 1 Country of origin (5 missing) New Zealand 294 66.7 U.S .A. 65 14.8 United Kingdom 36 8 Australia 22 4.8 Canada 5 1 . 1 Other 1 8 4 . 1 Note: Values are presented in percentages excluding respondents who declined to answer. 5.2.2 Materials As described in the previous chapter, data were gathered using a self-administered, Internet based questionnaire, which was designed to measure the interdependence of respondent' s jobs, respondent' s needs, workplace friendship opportunities, workplace friendship prevalence, cohesion, job satisfaction, organisational commitment and intention to leave. Most of the instruments and survey questions relevant to the current study are fully described in Chapter Three and include the Workplace Friendship Scale (Nielsen et aI. , 2000), the Workgroup Cohesion Scale (Campion et aI. , 1 993), the Organisational Commitment Questionnaire (Mowday et aI. , 1 979), the Job Satisfaction Scale (Warr et aI. , 1 979), and a measure of intention to leave (Mobley, 1 977). In addition the Needs Assessment Questionnaire (Heckert et aI . , 2000) and two interdependence of work role questions were also used, these are described below. Needs Assessment Questionnaire The Needs Assessment Questionnaire was designed to measure four needs; the needs for achievement (nAch), affiliation (nAff), autonomy (nAut), and dominance (nDom) (refer appendix 1 6 for the items in the NAQ). 1 75 Cross-validating the Causal Model and Testing for Invariance The Needs Assessment Questionnaire was developed by Heckert et al. (2000) to measure achievement, affiliation, autonomy, and dominance. Although the Manifest Needs Questionnaire (Steers & Braunstein, 1 976) exists, Heckert et al. found that prior studies reported problematic internal consistency of the Manifest Needs Questionnaire scores, with several researchers (e.g., Dreher & Mai-Dalton, 1 983 ; Geiger & Cooper, 1 995; Mayes & Ganster, 1 983) obtaining internal consistency values that strongly question the reliability of the Manifest Needs Questionnaire. To create the Needs Assessment Questionnaire, a 60-item instrument, consisting of the 20 Manifest Needs Questionnaire items and 40 new items, was administered to 476 undergraduates. Based on the factor analysis results, Heckert et al. created the 20-item Needs Assessment Questionnaire. Internal consistency estimates were higher for the Needs Assessment Questionnaire scores than for the Manifest Needs Questionnaire scores. Heckert et al. (2000) calculated item-total correlations and coefficient alpha for both the original scales and the new scales. The average item-total correlations were higher for the new scales than for the original scales (.76 vs . .59 for the nAch scales, .72 vs . . 53 for the nAff scales, .64 vs.O .58 for the n Aut scales, and .74 vs . . 68 for the nDom scales). With all four scales, the scores derived from the new scales outperformed the scores derived from the original scales with regard to internal consistency, ranging from .65 to .8 1 . Evidence of the test-retest reliability of the NAQ was provided by a second study using 78 undergraduate students. The scales showed relatively stable scores, with test-retest reliability estimates of .64, .73, .63 , and .66, respectively, for the nAch, nAff, nAut, and nDom scales. Taken together, the results from Heckert et al. ' s studies provide support that the NAQ is a reliable and valid alternative to the Manifest Needs Questionnaire, with both student and worker samples, for measuring the needs for achievement, affiliation, and dominance. The support for the nAut scale was more limited and, as a result, the 1 76 Cross-validating the Causal Model and Testing for Invariance authors are somewhat cautious in their recommendation for its use for measuring the need for autonomy. Factor analysis of the· Needs Assessment Questionnaire (refer section 4.3 . 1 ) revealed that, for both the affiliation and autonomy subscales, three of the five items in the original scale loaded together as factors, all five of the achievement items loaded together. Scores for the questions were combined to give each respondent a composite score for the affiliation need, autonomy need and achievement need. The items used are presented in Table 27. T bl 27 N d A a e ee s ssessment Q f ues lonnalre It ems Affiliation Autonomy I try my best to work alone on a I would like to be my own boss. work assignment. (R) I prefer to do my own work and I would like a job where I can let others do theirs. (R) plan my work schedule myself. U d · h C se In t e urrent S d tu Iy Achievement I try to perform my best at work It is important to me to do the best job possible When I have a choice, I try to I would like a career where I have I am a hard worker work in a group instead of by very little supervision. I push myself to be "all that I can myself. be" I try very hard to improve on my past performance at work Interdependence/autonomy questions The following two questions were used to assess the level of interdependence in respondents' jobs. Items were rated on a 7-point likert type scale ranging from 1 (strongly disagree) to 7 (strongly agree) . 1 . In order to fulfil my duties at work, regular communication and/or interaction with my colleagues is important. 2. The type of work I do can be done satisfactorily on my own, without regular interaction and/or communication with my colleagues. To assess the validity of the interdependence/autonomy questions, their correlation with the measures of cohesion and friendship prevalence was assessed. Those in more autonomous jobs will probably not be part of a highly cohesive workgroup and may report less need for friendship at work, or perhaps have fewer opportunities to make friends. Thus, a negative correlation between the "autonomy of work role" score and a) 1 77 Cross-validating the Causal Model and Testing for Invariance the social support factor of the cohesion scale, b) the friendship prevalence scale and c) the need for affiliation subscale would be expected if the "autonomy of work role" score was valid. In addition, according to the attraction/selection/attrition theory (Schneider et aI . , 1 995), discussed in section 5 . 5 . 1 , people with relatively low needs for affiliation and/or high needs for autonomy are more likely to be in autonomous work roles. Thus, respondents indicating that their job was autonomous (by scoring low on Q 1 and high on Q2) should also score high on the autonomy sub-scale of the Needs Assessment Questionnaire and low on the affiliation sub-scale of the Needs Assessment Questionnaire (validity and reliability of the Needs Assessment Questionnaire is presented above). A measure of respondents' autonomy of work role was calculated by reverse scoring question 1 and taking the mean of the two scores (similarly, a measure of the level on interdependence of the respondents' jobs may be calculated by reverse scoring the second question and taking the mean). To check the psychometric properties of the items, their correlation with existing scales was assessed. As expected the ' autonomy of work role' score was negatively correlated with the social support factor of the cohesion scale (r = -. 1 6, p < . 001), the friendship prevalence scale (r = -. 1 0, p < . 05) and the need for affiliation subscale (r = - .23 , p < . 001), providing evidence of divergent validity for the two new interdependence/autonomy questions. The 'autonomy of work role' score was significantly positively correlated with the 'need for autonomy' subscale (Heckert et aI. , 2000) (r = . 1 7, p < . 001), providing evidence of convergent validity. 5.2.3 Procedure The Internet data collection site remained active following the download of the data used in the previous chapter and an additional 3 3 individuals responded to the questionnaire. The data were downloaded and used to again create the measurement models of the scales and to test the theoretical model. 1 78 Cross-validating the Causal Model and Testing for Invariance 5.3 Analysis and Results Analyses were based on the AMOS (Arbuckle, 1 999) program, and were conducted in five stages. First, measurement models of the scales used to measure the latent variables, derived from the previous chapter, were confirmed with the larger data set. Second, the data were assessed for goodness of fit to the proposed model . Third, the data were randomly split into two (using SPSS), to form calibration (n = 230) and validation (n = 2 1 5) samples. Fourth, the calibration sample was assessed for goodness of fit to the proposed model. Fifth, the model was cross-validated by testing for the invariance of all parameters across the second independent sample. The cross-validation procedure is outlined by Byrne (2001 ) and involves first performing an omnibus test, determining the goodness of fit for the two groups in combination, and with no equality constraints imposed. Having constrained all parameters to be equal across groups it is possible to compare the constrained model with the initial multi group model, in which no equality constraints were imposed, to determine if the causal structure is invariant. The change in chi-square value (b.X2) provides the basis for comparison with the initial multi group model47 . Respondents were divided into groups using median splits, and the validated model was then used to test for invariance between individuals who reported having relatively less (n = 20 1 ) and more (n = 244) interdependent work roles, those who indicated high (n = 238) versus low (n = 207) needs for affiliation, those who reported high (n = 268) versus low (n = 1 77) needs for autonomy and those who reported high (n = 236) versus low (n = 209) needs for achievement. Assessment of model fit was based on multiple criteria, reflecting statistical and practical considerations (Byrne, 200 1) ; these were (a) the chi-square (X2) likelihood ratio statistic, (b) the Comparative Fit Index (CSI : Bentler, 1 990), the Parsimonious Normed Fit Index (PCFI: Mulaik et aI . , 1 989), and (c) the Root Mean Square Error of 47 If the change in Chi Square is significant the fit of the two data sets to the model can be judged to be significantly different. 1 79 Cross-validating the Causal Model and Testing for Invariance Approximation (RMSEA: Browne & Cudeck, 1 993). These indices are described fully in the previous chapter (refer section 4.3 . 1 ) � 5.3.1 Measurement 'Models of the Scales The computer programme AMOS (Arbuckle, 1 999) was used to create measurement models of the scales using the data gathered from all 445 respondents. The measurement models of the scales used in the current study remained unchanged from the previous study. The fit indices for each measurement model show good fit of the data to the models, fit indices are presented in Table 28 . The reliability alpha coefficients for each subscale were acceptable, ranging from .70 to .9 1 . Both the cohesion scale and the satisfaction scale were again found to have two factors48. Table 28: Fit Indices for the Measurement Models n = 445) Scale Number x: df PCFI CFI RMSEA 0 actors W orkplace friendship scale 2 Job satisfaction scale 2 Cohesion Scale 2 Organisational Commitment 1 Questionnaire Needs Assessment Questionnaire 4 5.3.2 Model of Workplace Relationships 40.59 1 3 74. 10 26 6 1 . 1 0 1 9 1 53.70 54 2 16.37 7 1 .60 .69 .66 .79 .68 .98 .96 .97 .96 .87 .069 .065 .07 1 .064 .07 1 The result of the SEM analysis is shown in Figure 28; there are eight latent variables, three hypothesised correlations and nine hypothesised regression paths, indicated by arrows. All correlations and regression paths shown are significant (p < .05). In spite of the slightly different data set, regression weights between variables were relatively unchanged from the previous chapter. Table 29 shows Chi Square, degrees of freedom and the relevant goodness of fit statistics for the model under test, again they are largely unchanged from the previous chapter and indicate the model is a good fit to the data. The complete table of fit indices is given in appendix 2 1 . 48 The two factors in the satisfaction scale were, (1 ) satisfaction with relationships and workplace (extrinsic satisfaction), and (2) satisfaction with aspects of actual job performed; variety/fulfilment (intrinsic satisfaction). The two satisfaction factors relate closely to the 'extrinsic satisfaction' and ' intrinsic satisfaction' clusters of items, identified by Warr et al. ( 1979) . The two cohesion factures were, (1 ) social support and cooperation and (2) workload sharing. The workload sharing factor is identical to that described by Campion et al ( 1993), while the remaining items loaded together as a single factor, combining Campion's 'social support' and 'communication/co-operation' factors. 1 80 Cross-validating the Causal Model and Testing for Invariance Table 29: Fit Indices for the Causal Model: Based on the Full Sample (n = 445). Index offit df CFI PCFl RMSEA Low 90 High 90 Hoeller . 01 Value 617 .90 .84 .055 .05 1 .058 2 1 7 The data supported the notion that friendship opportunities (leading to increased friendship prevalence) would be positively correlated with the cohesiveness of a workgroup, that friendship opportunities and cohesion would be antecedent to job satisfaction, that friendship opportunities and cohesion would impact positively on organisational commitment (mediated by satisfaction), and that satisfaction and commitment would both be antecedent to intention to leave. For a more detailed description ofthe theoretical model see the previous chapter . . 21 ,.25 Figure 28: Results of SEM analysis of the theoretical model. Values represent standardised estimates and correlations based on the ful l sample (n = 445). All paths shown are significant ( p < .05) 1 8 1 Cross-validating the Causal Model and Testing for Invariance 5.3.3 Comparing Groups Calibration compared to validation sample For the purpose of cross-validation, the hypothesised model was tested for its replication across two independent (random) samples, i .e. , the calibration and validation groups (Byrne, 2001) . The calibration sample showed adequate fit to the model (CFI = .89, RMSEA = .05). From an omnibus test, which determines the goodness of fit for the two groups in combination, and with no equality constraints imposed, the fit is adequate (CFI = .88, RMSEA = .04, X2( 1234) = 22 14.8) see Table 30. Next, to test for invariance across groups, equality constraints were specified by labelling all parameters in the model equal across the two groups. From Table 30 the change in chi-square with 44 . . Jr '!': : . .- degrees of freedom is 48.5 (�X2(44) = 48.5). Since this test statistic is not stafHticillly significant, the model is shown to be invariant across the two groups. Table 30: Chi-Square Statistics for Tests of Invariance across Sub-groups of the Sample Causal friendship Omnibus test / Comparative model A,i Adf Statistical model baseline model (no (Factor loadings, significance equality constraints variances and imposed) covariances constrained equal) X2 df X2 df Random sample 22 14.8 1 234 2263 .3 1278 48.5 44 ns (calibration versus validation sample) High versus low 2238.3 1 234 2282.8 1 278 44.5 44 ns Affiliation needs High versus low 2279.5 1 234 2328.2 1 278 48.7 44 ns Autonomy needs High versus low 2359.0 1 234 24 1 3 . 1 1 278 54. 1 44 ns Achievement needs High versus low 229 1 .7 1 234 2387.2 1 278 95.5 44 p < .001 interdependence of job Needs for affiliation, autonomy and achievement The invariance-testing strategy described above was then used to test for the invariance of the causal structure for respondents reporting relatively high versus low needs for affiliation autonomy and achievement. Table 30 shows that the differences in chi­ square values (L\X2) between the second tests and the omnibus tests were not statistically significant (�X2(44) = 44.5, �X2(44) = 48.7 and �X2(44) = 54. 1 for the affiliation, autonomy and achievement group comparisons respectively) . Thus, the high autonomy-need 1 82 Cross-validating the Causal Model and Testing for Invariance group does not differ significantly from the low autonomy-need group in terms of the relationships between variables in the model. Similarly the high affiliation-need and high achievement-need groups do not differ significantly from the low affiliation-need and low achievement-need groups (i.e., the groups are invariant) . Thus, needs seem not to influence the way the measured variables in the tested model relate to each other. Interdependence of work role The same invariance testing strategy was then used to test for the invariance of structural paths across groups of respondents who reported having comparatively less or more interdependent jobs. From the omnibus test, the goodness of fit of the model for the two groups in combination, and with no equality constraints imposed, is adequate (CFI = .88, RMSEA = .044, X2( 1234) = 2229 1 .7). Next, having constrained all parameters to be equal across groups it is possible to compare the results with the initial multi group model to determine if the hypothesised causal structure is invariant across the two groups. From Table 30, the change in chi­ square with 44 degrees of freedom is 95.5 (f1X2(44) = 95.5), which is statistically significant (p < .00 1 ) ; this indicates that the fit of the data to the model is noninvariant (i.e. , different) across the two groups (i.e., those reporting having (a) relatively less and (b) relatively more interdependent jobs). Given this finding of noninvariance, the next task is to locate the nonequivalent parameters in the model. This process involves a series of logically ordered tests for invariance, first testing for the equivalence of the factor structure and then for the equivalence of the structural model. By doing this, it is possible to determine which parameters in the model are different between those in relatively less and more interdependent jobs. Table 3 1 shows the results bearing on this series of tests for invariance. Each model tested is compared to the baseline model. A significant change in Chi-square between the model tested and the baseline model indicates that the two are noninvariant (i.e., significantly different). 1 83 Cross-validating the Causal Model and Testing for Invariance Table 31 : Goodness of Fit Statistics for Tests of Invariance Across Those in Relatively Less and More Interdependent Jobs Model number 2 3 4 5 6 7 8 9 10 1 1 12 1 3 1 4 1 5 1 6 1 7 1 8 MOllel description Combined baseline models, high versus low interdependence· of job (Model 1 ) Factor loadings, variables, regression paths · and covariances constrained equal Only factor loadings constrained equal All factor loadings constrained equal other than item 4 (workplace friendship), item 8 (cohesion) and item 6 (OCQ) which were freely estimated. t df 229 1 .7 2387.2 2358.6 2326.9 1 234 1 278 1263 1 260 95.5 66.9 35 .2 As 4 but with variables constrained equal also 2330.2 1 263 38 .5 As 5 but with all regression paths and 2355.4 1275 63.7 covariances constrained equal also As 5 but with only the path between friendship opportunities and friendship prevalence constrained equal also As 7 but with path between friendship opportunities and extrinsic satisfaction constrained equal also As 8 but with path between cohesion (social support) and extrinsic satisfaction constrained equal also As 9 but with path between cohesion (workload sharing) and extrinsic satisfaction constrained equal also 2332.2 2333.4 2333.7 2336 . 1 1 264 40.5 1265 4 1 .7 1 266 42 1 267 44.4 As 10 but with covariance between friendship 2344.4 1 268 52.7 opportunities and cohesion (social support) constrained equal also As 10 but with co variance between cohesion 2339.3 1268 47.6 (workload sharing) and cohesion (social support) constrained equal also As 1 2 but with covariance between friendship 2339.8 1 269 48.7 opportunities and cohesion (workload sharing) constrained equal also As 13 but with path between extrinsic satisfaction and intrinsic satisfaction constrained equal also As 14 but with path between extrinsic satisfaction and organisational commitment constrained equal also As 1 5 but with path between intrinsic satisfaction and organisational commitment constrained equal also As 16 but with path between intrinsic satisfaction and intention to leave constrained equal also As 17 but with path between organisational commitment and intention to leave 2340.2 2344.5 2345.6 2345 .8 2346.0 1 270 1 270 127 1 52.8 1272 53.9 1 273 54. 1 1 274 54.3 t1df Statistical 44 29 26 29 4 1 30 3 1 32 33 34 34 35 36 37 38 39 40 sigllificance p < .00 1 p < .00 1 ns ns p < .05 ns ns ns ns p < .05 ns ns ns ns ns ns ns constrained equal also Note. !!.X2, difference in X2 values; !!.df, difference in degrees of freedom. All models are compared witl Model 1 . 1 84 Cross-validating the Causal Model and Testing for Invariance As shown previously in Table 30, there was a significant difference between the baseline model and the fully constrained model for the high versus the low interdependence groups; this information is also displayed in the first two lines of Table 3 1 . Once the noninvadance of a model has been established the next step is to test for the equivalence of the factor-loading pattern across the two groups. The third line in Table 3 1 shows the result of this test. The significantly different Chi-square indicates that not all factor loadings are invariant across groups . A noninvariant factor-loading pattern necessitates the use of partial measurement invariance in testing for the equality of regression paths and covariances (which are the parameters of interest in this case). To ascertain which aspects of the factor-loading pattern vary across the two groups, each measurement model was tested for invariance49. Table 32 shows the result of these analyses. The statistical significance of the change in Chi-square for the cohesion, friendship and organisational commitment · measurement models indicates that those who report being in jobs which are relatively less or more independent, differ significantly in terms of the way these three measures fit. Next, every factor within the cohesion, friendship and the organisational commitment measurement models was systematically tested for invariance in order to identify the noninvariant parameters. The results bearing on these series of analyses indicated that only one item from each scale was ,noninvariant. The noninvariant items were item 8 of the cohesion scale, item 4 of the workplace friendship scale and item 6 of the organisational commitment questionnaire. The complete series of tests is not displayed here but the relevant results are shown in Table 32 . The significance of the change in Chi-square when all factor loadings are constrained equal, along with the non­ significance of the change in chi-square when each of these three items was freely estimated, indicates that they were the sole source of invariance in each of the measurement models . 49 The measurement model for Intention to Leave was not tested here as i t has only three items and therefore 0 df. 1 85 Cross-validating the Causal Model and Testing for Invariance Table 32: Goodness of Fit Statistics for Tests of Measurement Model Invariance Across Those in Relatively Less and More Interdependent Jobs Model description i cif Lli Lldf Statistical siani lcance Cohesion Scale Cohesion measurement model (unconstrained) 1 7 1 .7 52 Cohesion measurement model (fully constrained) 202 .8 62 3 1 . 1 1 0 P < .00 1 All items except item 8 constrained equal (item 8 1 84.7 6 1 1 3 9 ns freely estimated) Friendship Scale Friendship measurement model (unconstrained) 65.4 26 Friendship measurement model (fully constrained) 8 1 .6 32 1 6.2 6 p < .05 All items except item 4 constrained equal (item 4 76. 1 3 1 1 0.7 5 ns freely estimated) Organisational Commitment Questionnaire OCQ measurement model (unconstrained) 239.3 108 OCQ measurement model (fully constrained) 263.6 1 1 9 24.3 1 1 p < .05 All items except item 6 constrained equal (item 6 253.5 1 1 8 1 4.2 1 0 ns freely estimated) Job Satisfaction Scale Satisfaction measurement model (unconstrained) 100.4 52 Satisfaction measurement model (fully constrained) 1 1 3.6 60 1 3 .2 8 ns Note. /}.X?, difference in X2 values; /}.df, difference in degrees of freedom. Each constrained model is compar with the unconstrained model for the same measurement model. When the full model is tested for invariance, allowing only the three scale items identified as being noninvariant to be freely estimated, there is no longer significant difference in the factor structure (as shown in line 4 of Table 3 1 ) . The invariance of the regression paths and covariances (the parameters of interest) across high and low interdependence groups can now be tested. The testing of invariance hypotheses involves increasingly restrictive models (Byrne, 200 1 ). In Table 3 1 , the model tested in line five is more restrictive than the one above it because, in addition to the partial equality constraint being imposed on the factor variances, equality constraints are also maintained for the variables (i.e., friendship opportunities, job satisfaction, etc.). The non-significant change in Chi-square indicates that the model remains invariant across the two groups (i.e., any difference that exists is not due to difference in the variables constrained as being equal). Model six (line six of Table 3 1) shows the change in Chi-square when, in addition to the constraints described 1 86 Cross-validating the Causal Model and Testing for Invariance above (i.e., factor variances and variables), the regression paths and covariances are also constrained equal. Because the difference in the Chi-square value between Model six and Model one is statistically significant (�X2(23) = 40.0), the hypothesis of invariance can now be rejected. The next step is to ascertain which regression paths or covariances are contributing towards this inequality. To do this, it is necessary to test for the invariance of each parameter individually, while continuing to hold constrained all parameters found to be cumulatively invariant across the two groups. The change in Chi-square for model seven, which has only the path from friendship opportunities to friendship prevalence constrained equal is non-significant (�X2 ( l 2 ) = 1 7 .7). This means this path is invariant across the two groups. Thus, the parameter from friendship opportunities to friendship prevalence is held invariant whilst the next path (from friendship opportunities to extrinsic satisfaction) is tested for invariance (model eight, Table 3 1 ), again the non-significant change in Chi-square indicates that this path is invariant across groups. Based on this general procedure of cumulatively maintaining equality constraints only for invariant elements, the next two parameters were tested and were also found to be invariant. On testing for the invariance of the covariance between friendship opportunities and cohesion (social support), the change in chi-square (�X2 ( l 6) = 28.8) was significant (Model 1 1 , Table 3 1 ). Thus, this parameter is noninvariant (different) across the tWQ groups. The equality constraint for the covariance between friendship opportunities and cohesion (social support) was therefore released for all subsequent models, none of which resulted in a significant change in Chi-square (refer lines 1 2- 1 8, Table 3 1 ). To sum up, the testing of invariance hypotheses shown in Table 3 1 indicated that there was one main difference in the structural relations among the variables measured in the current study. Other than a single item in each of three measurement models (friendship, cohesion and organisational commitment), the factor-structure related to the measurement models is equivalent across the two groups. There are, however, 1 87 Cross-validating the Causal Model and Testing for Invariance significant group differences with respect to the covanance between friendship opportunities and the social support aspect of cohesion. Table 33 shows the correlation between the cohesion (social support) and friendship opportunity variables for high and low interdependence groups, along with the critical ratio values. Although both correlations are statistically significant, the analyses described above indicate that they are significantly different. It seems that the relationship between cohesion (social support) and friendship opportunities is significantly stronger for the Low Interdependence group. This implies that, for those in relatively less interdependent (more autonomous), jobs the social support aspect of cohesion and opportunities for friendship are correlated significantly more strongly, than for those in more interdependent jobs. Table 33: Showing Correlation Coefficients and Critical Ratio Values (parameter estimate d ivided by standard error) of the Correlation Between the Cohesion (Social Support) and Friendship Opportunity Variables for High and low Interdependence Groups High Interdependence Group Cohesion (social support) Low Interdependence Group Cohesion (social support) CR. Estimate S.E. Correlation f--7 Friendship Opportunities 4 .24 . 1 3 .03 .37 f--7 Friendship Opportunities 6.22 .29 .05 .63 C.R. values >±1 .96 are statistically significant. Parameter estimates and standard errors are also shown, along with the correlation coefficient. Finally the indices of fit were compared for the low and high interdependence groups. The non-equivalence of the causal structure suggests that the model may be better fitting for one group compared to another. Table 34 shows the goodness of fit indices when the model is tested separately for the high interdependence group compared to the low interdependence group. For the high interdependence group the CFI ( .90) and the RMSEA (.058) both meet the criteria for a well fitting model, while for the low interdependence group the CFI (.85), does not meet the criteria for good fit (i.e. , >.9), the RMSEA too, is higher than for the high interdependence group (RMSEA = .067), suggesting that the data fit the model less well . These results indicate that the causal model, showing the impact of workplace friends on organisational outcomes, is better fitting for those in highly interdependent work roles. 1 88 Cross-validating the Causal Model and Testing for Invariance Table 34: Goodness of Fit Statistics for the H igh and Low Interdependence Groups Scale r df CEI PCEI RMSEA High Interdependence 1 33 1 .79 690 .90 .82 .058 Low Interdepentlence 133 1 .22 690 .85 .79 .067 5.4 Discussion There is support for hypothesis 5 . 1 ; the structure was invariant across two groups of randomly assigned respondents, thereby cross-validating the model (hypothesis 5 . 1 ) . Hypotheses 5.2a, 5 .2b and 5 .2c were not supported however. Findings indicate invariance in the causal model when the samples compared were divided on the basis of needs for affiliation (hypothesis 5.2a), autonomy (hypothesis 5 .2b) or achievement (hypothesis 5 .2c). These are somewhat unexpected findings, given that it seems reasonable to expect that data gathered from individuals with high needs for affiliation, and autonomy, particularly, would differentially fit a causal model of friendships compared to those reporting relatively lower needs. The non-invariance of the model when comparing individuals with relatively high or low needs for achievement is not as surprising, as the need for achievement is likely to be less directly linked to friendships at work (refer Table 25, section 5 . 1 . 1 ). A possible explanation for the unexpected findings may be that individuals expressing higher order needs are having them fulfilled outside the workplace. This relates to the concept of 'compensation' from the work-family balance literature (Campbell-Clark, 200 1 ; Lambert, 1 990; Sumer & Knight, 2001 ). For example, if employees expressing high needs for affiliation have their needs met at home, they may be less likely seek to fulfil them at work; thus the absence of friends at work will be unlikely to be any less or more salient for these individuals, than for colleagues who have low needs for affiliation. The model was noninvariant (different) across the two groups reporting having relatively less or more interdependent jobs (hypothesis S.2d). Specifically, one item in each of the measurement models for friendship opportunities, cohesion and organisational commitment differed, along with the correlation between friendship 1 89 Cross-validating the Causal Model and Testing for Invariance opportunities and the social support aspect of cohesion. The finding that the correlation between friendship opportunities and the social support aspect of cohesion is stronger for those who report being in relatively less interdependent jobs seems somewhat counterintuitive. A possible explanation is that those in very interdependent jobs will have opportunities for friendship, regardless of the perceived cohesion In their workplace (so a significant correlation · will not be found) while those In very autonomous jobs will only experience increased opportunities for friendship if they also perceive themselves to be socially supported by their colleagues. When the findings of group invariance between those with high and low needs are considered alongside the finding that the model was noninvariant when the sample was divided on the basis of the level of interdependence of individual' s work roles an interesting pattern emerges. It seems that the degree of interdependence in an individual' s job influences the relationships between the measured variables, while the subjective needs of employees for autonomy, affiliation and achievement will not. Findings that the model (featuring friendships as antecedent to organisational outcomes such as commitment and job satisfaction) is better fitting for those in interdependent jobs is consistent with the hypothesis that those in interdependent jobs will be more affected by friendship opportunities than those in autonomous jobs, and also with prior research by Winstead et al . ( 1 995) . . Thus, it seems that the actual job someone does, and whether or not it is necessary to work with others in order to perform one's job, will affect the salience of informal interpersonal relationships at work, while whether or not individuals self-report having needs for autonomy and affiliation, will not. 5.5 Conclusion This study cross-validated a model of friendships in the workplace, and results suggest that the proposed model is robust, evidenced by the invariance of the model on four out of five tests for invariance. In addition, the findings demonstrate that there is a difference between those occupying relatively less or more interdependent jobs in terms of how the variables in the model relate to each other. 1 90 .:; Cross-validating the Causal Model and Testing for Invariance It was found that the correlation between social support and friendship opportunities is significantly stronger for those in less interdependent jobs. A likely explanation for this finding is that, for those who report being in highly interdependent work roles, friendship opportunities will exist regardless of the reported group cohesion. For those in very autonomous work roles, on the other hand, friendship opportunities will probably be more dependent on the perceived social support in the work environment. In addition, findings suggest that the relationship between opportunities for friendships in the workplace and job satisfaction, organisational commitment and intention to leave are not the same for all employees. While it makes logical sense that having more friends at work will make one's work day more pleasant, it seems that, in terms of organisational outcomes, friendships have less impact on those in relatively more autonomous jobs (evidenced by the relatively poor fit of the model for this group). This finding supports that of Fine ( 1 986), who claims that those in occupations with relatively more autonomy will have less need for solidarity with their peers. Second, it seems that the reported needs of employees for affiliation, autonomy or achievement do not really affect the relationships between measured variables; regardless of respondents' reported needs, the impact of friends in the workplace remained considerable. Acknowledgements Parts of this study were presented in the PhD forum of the Fourth Annual International Conference of Emotion in the Workplace. Morrison, R. (2004). Friendships at work, job type and needs: The impact on organisational outcomes. Paper presented at the PhD Forum of the Fourth Annual International Conference of Emotion in the Workphice, London. 1 9 1 Synthesis and Implications Chapter 6 : Synthesis and Implications 6.1 Summary of Major Findings The central question of this thesis is whether or not friendships at work (a social factor) are linked to the job satisfaction, organisational commitment and turnover intentions of employees (i.e. , organisational issues). This focus on informal relationships in organisations places the thesis within the realms of both social and organisational psychology. A model of workplace relationships and organisational outcomes, derived from previous research and theory, was outlined in Chapter Two. The theoretical model hypothesised links between relationship factors (workgroup cohesion, friendship opportunities, friendship prevalence) and organisational outcomes (organisational commitment, j ob satisfaction and intention to leave). 6.1 . 1 Hospital Study The first attempt to test the theoretical model, in a hospital setting within New Zealand, was described in Chapter Three (Hospital Study). Three research questions, derived from the hypothesised model, were posed. Research Question 1 asked: Do the opportunities for, and prevalence of, friendships within a hospital have an impact (either mediated or direct) on job satisfaction, organisational commitment, and intention to leave? It was hypothesised that opportunities for friendships would have a significant effect on how satisfied people are with their jobs, that having more opportunities for friendship would increase organisational commitment, and that both opportunities for friendship and the prevalence of friends at work would reduce turnover. 1 92 Synthesis and Implications As expected, friendship opportunities did have a positive impact on job satisfaction. Friendship opportunities also predicted organisational commitment but the link was mediated by job satisfaction. As expected, a relationship between friendship opportunities and intention to leave was also found; this linkage too was mediated by friendship prevalence and job satisfaction. The friendship prevalence variable was not hypothesised to impact directly on job satisfaction or commitment, but was hypothesised to relate directly to intention to leave. The data from the Hospital Study supported this hypothesis, as there was a significant relationship between friendship prevalence and intention to leave. Research Question 2 asked: Is the perceived level of cohesion related to opportunities for friendship, prevalence of friendship, job satisfaction, organisational commitment and intention to leave? It was hypothesised that cohesion would be positively related to opportunities for, and prevalence of, friendship in the workplace, and would be associated with an increase in job satisfaction and commitment and a decrease in intention to leave. Cohesion was found to relate directly to friendship prevalence and friendship opportunities, and to relate to the organisational outcome variables in the same way that friendship opportunities did, i.e., directly with job satisfaction and indirectly with commitment and intention to leave. Research Question 3 asked : Do negative relationships in the workplace worsen organisational commitment, job satisfaction and intention to leave? It was hypothesised that individuals who experienced negative relationships at work would report decreased organisational commitment and job satisfaction and increased intention to turnover. It was found that people who reported having at least one negative peer had a significantly lower score on the prevalence of friendships at work scale. In addition, people who reported having at least one negative peer had a significantly lower score on both cohesion sub-scales (social support / communication and workload sharing). Thus, although there were no significant differences in satisfaction or commitment between those who did, and those who did not, report having at least one negative relationship, the data from this study suggested that individuals who report negative relationships at work will report being part of a comparatively less cohesive team. 1 93 Synthesis and Implications The analysis of the data in the Hospital Study indicated that there was good support for the proposed model. The results suggested that friendships at work have a significant impact on respondents' satisfaction with their jobs, commitment to their organisation and intention to leave. In addition, the cohesiveness of employees' workgroups was significantly related to both opportunities for, and prevalence of, friends at work. 6.1 .2 Internet Study In order to assess how robust the proposed model was across different contexts, and to deal with some of the limitations of the first study, a larger Internet-based study was conducted and was described in Chapter Four. In addition to assessing the generalisability of the findings from the Hospital Study, a fourth research question, focusing on gender differences, was posed. Research Question 4 asked: Are friendship variables differently correlated with other organisational variables for men and women? The larger data set made it possible to test a full structural equation model (SEM); the AMOS computer programme was used to carry out the SEM analysis. Taken together, the goodness of fit statistics reported in the Internet Study indicated that the proposed model was a good fit to the data. Most of the linkages between variables in the Internet Study related very closely to the findings in the Hospital Study, demonstrating good support for the theoretical model, and indicating that the proposed model was robust. In this study, the effect of negative relationships was found to be far greater than in the initial study. The results supported the hypothesis and indicated that those with at least one negative relationship at work were significantly less satisfied, reported l ess organisational commitment, were part of less cohesive workgroups and were significantly more likely to be planning to leave their job . With respect to the research question focusing on gender differences, the findings indicated that the presence of friends and opportunities for friendships at work are more strongly related to the leaving intentions of women than of men, suggesting that women 1 94 Synthesis and Implications will be more directly affected by the presence or absence of close friends at work than men; it seems women may make a leaving decision based, at least in part, by the social opportunities their work offers . A second finding was that the workload sharing aspect of cohesion was significantly correlated with friendship opportunities and friendship prevalence for men but not for women, suggesting that women will form friendships at work whether or not they share work, but men are more likely to make friends if they are in a job involving shared activities with their colleagues. A third difference found between the genders was that job satisfaction was not significantly correlated with friendship prevalence for women, but was for men. This may relate to a tendency for women to make friends at work when they are dissatisfied in their jobs or, alternatively, may relate to Herzberg's ( 1 966) two-factor theory of satisfaction (discussed further below). Another finding, which came through in both the Hospital Study and Internet Study, was the difference in the way 'friendship prevalence' (the actual number of friends an employee has in the workplace) and 'friendship opportunities' (a generally friendlier work environment) relate to the other measured variables. While friendship opportunities related significantly to outcome variables such as job satisfaction and organisational commitment, friendship prevalence was not found to relate to satisfaction or commitment in either study, and was only weakly (though significantly) related to intention to leave in the Hospital S�dy. 6.1 .3 Invariance Testing Study The third study, described in Chapter Five, built on the previous two, by cross­ validating the causal model and testing for invariance between sub-groups of respondents differing in need strength and interdependence of job. It was on the basis of four variables that the sample was divided and tested for group invariance of the model of workplace friendships. The four variables were: a) interdependence of work role, b) need for affiliation, c) need for autonomy and d) need for achievement. It was found that the degree of interdependence in an individual' s job influenced the relationships between the measured variables, while the subjective needs of employees 1 95 Synthesis and Implications for autonomy, affiliation and achievement did not. Thus, it seems that the actual job someone does, and whether or not i t is necessary to work with others in order to perfonn one's job, will affect the salience of informal interpersonal relationships at work, while whether or not individuals self-report having needs for autonomy and affiliation, will not. 6.2 Synthesis On reflection of the findings described above and in the body of this thesis, it is possible to offer three main conceptual points. 1 . The 'friendship prevalence' and ' friendship opportunities' variables seem to operate differently from each other; with friendship opportunities being linked more strongly to organisational outcomes than friendship prevalence. Friendship prevalence should therefore be conceptually distinguished from friendship opportunities by researchers, practitioners and within organisations. 2. The interdependence / autonomy of an employee's work role affects how applicable the theoretical model is, while the needs of employees do not; situations, therefore, appear to affect the salience of relationships at work, while individual differences in needs do not. 3 . There are gender differences in the way friendships at work are related to job satisfaction, with friendships being significantly more strongly related to the job satisfaction of men. 6.2.1 Friendship Opportunities versus Friendship Prevalence The first conceptual point focuses on the finding that a generally friendlier workplace (friendship opportunities) is something which employees seem to both value and to give credit to their employing organisation for. Friendship opportunities are a situational variable which, when provided by an organisation, are associated with increased job satisfaction, organisational commitment and reduced intention to leave. Friendship prevalence, on the other hand, was not found to be significantly related to job satisfaction, organisational commitment or intention to leave. 1 96 Synthesis and Implications Several possible explanations for the difference between 'friendship opportunities ' and 'friendship prevalence' were discussed in the body · of the thesis, but the two most plausible explanations are: While friendship opportunities (a generally friendlier workplace) will result in increased commitment and satisfaction, friendship prevalence (the friends an individual has made) will not, because (i) friendships are initiated and maintained regardless of whether or not people are generally satisfied with their jobs or committed to the organisation, and (ii) individuals do not generally attribute to the organisation positive outcomes gained from the actual friends that they have made. Related to the first point, an explanation for the finding that friendship prevalence seems unrelated to job satisfaction or organisational commitment is that there may be individual or situational differences in the ways friendship prevalence and satisfaction relate to each other. While a positive relationship between friendship prevalence and satisfaction may exist for some, it is likely that, for others, a positive relationship between dissatisfaction and friendship prevalence might exist, i .e . , that those who report being dissatisfied with their jobs make more friends. The dissatisfaction -7 friendship prevalence relationship is related to findings by Sias and Jablin ( 1 995) described in section 2.3 .5 , which suggested that feelings of dissatisfaction may lead co-workers to form and maintain close friendships as a form of alliance against the organisation. It is possible that more friendships may be made when people feel dissatisfied in ' solidarity against the organisation, ' because they need the increased social support friends can provide when they are experiencing unhappiness or stress. Thus, a situation where friendships form when employees are dissatisfied may be as likely as one where satisfaction increases as a result of having more friends at work. Friendships therefore, may form regardless of the satisfaction of employees. The second explanation for the difference between friendship prevalence and friendship opportunities, is that organisational members may be unlikely to 'give credit' to their employing organisation for the friends they have made at work. Some people will make friends more easily or will maintain their relationships more effectively than others, and this individual difference will likely exist regardless of the situation the individuals are 1 97 Synthesis and Implications In. In addition, if an employee does not identify strongly with their organisational role, they may see their friendships at work as separate from their relationship with the organisation (Amason & AlIen, 1 997) and, as a result, friendships will be unlikely to have organisational outcomes. Friendship opportunities, on the other hand can be attributed to the organisation, as a generally friendly work environment i s something employees can easily see their employing organisation as having provided, and it is therefore likely to improve commitment. The extent to which organisational members identified with their employing organisation, or attributed positive outcomes of friendship to their organisation were not specifically investigated in the current studies, so the possible effect of these variables can only be speculative at this stage. It is possible that, while ' friendship opportunities' is an environmental / situational variable (those in a friendly workplace will score higher on the friendship opportunities scale), ' friendship prevalence' might be a personal / dispositional variable (friendly people will have more friends, and will score higher on the friendship prevalence scale). The two variables are of course closely related, both because friendship opportunities may be a necessary condition for friendships to form and because, related to Schneider' s ( 1 987) attraction/selection/attrition model (refer section 5 . 1 . 1 ) , given the opportunity, individuals with high needs for affiliation (a personal variable) are likely to select, and remain in, friendly workplaces (a situational variable). 6.2.2 Interdependence of Work Role versus Individual Differences in Needs The situational / dispositional differentiation also comes through in the second major conceptual point, which derives from the finding that the interdependence of an employee's work role affects the linkages between relationship factors and organisational outcomes, while the needs of employees will not. Again the situation, in this case the type of work role, impacts on the salience of friendships at work, with the model fitting better for those in an interdependent work role. On the other hand, the personal variables, in this case individual differences in needs for affiliation, autonomy and achievement, did not seem to have a significant effect on the way friendship variables related to organisational outcome variables. 1 98 Synthesis and Implications 6.2.3 Gender Differences Do any human characteristics have an effect on the impact of friendships in the workplace? One construct that did seem to make a difference was the gender of employees. The third conceptual point focuses on gender differences outcomes of organisational friendships, suggesting that men and women differ in the ways they approach friendships at work. The finding, discussed above, that 'friendship prevalence' and ' friendship opportunities' operate differently for people in organisations, can be related to the finding that job satisfaction was not significantly correlated with friendship prevalence for women, but was for men. It is possible that women, particUlarly, will form strong friendships and lean on their colleagues for social, emotional and instrumental support when they are dissatisfied with aspects of their work environment. If women's friendships strengthen in situations where they are unhappy or dissatisfied with their jobs, a significant positive relationship between satisfaction and friendship prevalence will not be found, even if having more friends at work does improve job satisfaction, i .e. , the two processes (friendships being associated with an increase in satisfaction, and friendships also being associated with an increase in dissatisfaction) will cancel each other out. In times of adversity, when conditions are bad, women may be more likely to make and keep friends than men. Men are perhaps less likely to demonstrate a negative relationship between friendships and job satisfaction, because they are less likely than women to seek emotional and social support from their colleagues when times are bad (Ashton & Fuerhrer, 1 993). Thus, a positive relationship between friendships at work and job satisfaction will be more apparent for men. The current study is not the first to find friendships at work significantly correlated with organisational outcome variables for men but not women. In a study set in a university and two engineering firms in the United States, Amason and Allen ( 1 997) found that, regardless of the quality of their relationships with colleagues, women's perceptions of organisational support 50 did not change. On the other hand, males reporting positive co­ worker relationships also indicated higher perceived organisational support. It seems so Perceived organisational support is closely related to organisational commitment (Alien, 1992). 1 99 Synthesis and Implications that males were more likely than females to feel that their organisation cared about them when they had more and better friends at work (Amason & Allen, 1 997). In other words, males ' credited' the organisation for their friendships in a way that females did not. Females probably got as much pleasure from their workplace friendships, but were less likely to attribute these positive outcomes to the organisation. Again, the degree to which respondents in the current study attributed positive outcomes of interpersonal relationships to the organisation was not directly measured, but is a direction for future research, both in the context gender differences and individual differences. Identifying why the friendship prevalence 7 job satisfaction relationship is significant for men but not women5 1 can only be speculative here, as this was not a primary focus of the current study. Perhaps, as discussed above, women will make more friends than men when they experience dissatisfaction. Alternatively, previous research on relationships suggests that men derive satisfaction and identity from being part of a team (Amason & Allen, 1 997; Markiewicz et aI . , 2000; Winstead, 1 986). So perhaps when men have friends at work, compared to when they do not, they will work better and more successfully within the team, achieve more goals and thereby derive satisfaction from their job. Then again, it might be, as Amason and Allen ( 1 997) propose, that women do not identify as strongly with their organisational role as men do, they may see their friendships at work as more separated from their relationship with the organisation, thus friendships will not have organisational outcomes for women. Finally, it is possible that women simply expect to have friendships at work. Thus, in the absence of friends, women will be dissatisfied, but the presence of friendships will not have positive outcomes any more than other expected outcomes of working will (for example, their wages). In other words, women may perceive friendship as a necessary aspect of work, whereas men may see their organisational friendships as an added bonus. This final point relates to Herzberg' s ( 1 966) well-known two-factor theory of satisfaction (refer section 2 . 1 .2) . 5 1 Note: The gender of the person whom respondents were friends with was not assessed, either in the current study, or in Amason and Allen ( 1 997). The friendship dyads discussed will likely include both same sex and cross sex relationships. 200 Synthesis and Implications Herzberg ( 1 966) postulated that factors intrinsic to the nature and experience of doing work were job satisfiers or 'motivators' while extrinsic factors, including interpersonal relationships, were job 'dissatisfiers' or 'hygiene' factors. In Chapter Five (section 5 . 1 .2), the possibility' was discussed that, for people in certain roles, interpersonal relationships are intrinsic to the experience of doing work, and therefore interpersonal relationships cease to be hygiene factors (as Herzberg et al. propose) and are, instead, motivators. There was support in the current study for the idea that the degree of interdependence in a work role may cause informal relationships to be more salient. In terms of the gender findings, it seems that the gender of employees may be related to whether or not interpersonal relationships are motivators or hygiene factors. It was found that, for men, there was a significant positive correlation between satisfaction and friendship prevalence, implying that friendships at work operate as a ' satisfier' or 'motivator' for men, improving job satisfaction. For women, on the other hand, not only was there no significant relationship between satisfaction and friendship prevalence, but there was a significant negative correlation between intention to leave and all the relationship measures (cohesion, friendship opportunities, friendship prevalence). This implies that, for women, friendship acts as a 'dissatisfier' or a 'hygiene' factor, inasmuch as women will be more likely to be intending to leave their job if they report having few or no friends at work, and will be more likely to be intending to stay if they report hav.ing more friends at work. It is possible that having, or not having, friends at work may be enough to influence female employees' leaving decisions. In other words, friendships in the workplace are motivators for men; they will improve satisfaction if they are present; while for women, the absence of friends at work will cause dissatisfaction; acting as a hygiene factor as Herzberg proposed. Although there has been historical criticism of Herzberg's two-factor theory (Hackman & Lawler, 1 97 1 ; Hulin & Smith, 1 967; King, 1 970) it is often used to provide a framework within which to interpret job satisfaction research (e.g. , Adigun & Stephenson, 1 992; Furnham et al. , 1 999; Knoop, 1 994; Maidani, 1 99 1 ; Yamashita, 1 995) (refer section 2. 1 .2 for a discussion of the criticism and a description of more recent studies utilising the Herzberg's two-factor theory). 20 1 6.3 Future Directions Synthesis and Implications Three directions for future research are (i) investigating the effects of friendships at work on performance, (ii) examining the impact of negative relationships in the workplace and (iii) investigating the effect of factors such as organisational identification and/or attribution on the relationship between friendship prevalence and organisational outcomes. The first two enquiries have been discussed within the body of the thesis so are outlined only briefly below. The third direction for future research arose from attempts to explain some of the findings in the current studies; these hypotheses have not been discussed previously and so are described in more detail here. 6.3.1 Performance It would be interesting to examine the possible links between friendship opportunities, friendship prevalence and performance. Performance was not examined in the current study, and findings from previous research have been somewhat mixed. Friendships in the workplace have been associated both positively (Campion et aI. , 1 993 ; Jebn & Shah, 1 997; Ross, 1 997) and negatively (Bramel & Friend, 1 987; Eisenberg, 1 994) with job performance (refer section 2.3 .3) . Thus, It would be worthwhile to examine whether (or in what circumstances) friendship prevalence or opportunities have an effect on job performance. 6.3.2 Negative Relationships Negative relationships are defined and discussed in section 2.3 .7. Although some data on negative relationships were gathered in the current study, the impact of these relationships was not really within the scope of this thesis. Preliminary findings do suggest, however, that the effect of 'enemies' on individual' s experiences of work can be profound. Examining how negative relationships form, looking at the effect of negative relationships in the workplace and determining how they might be managed are certainly areas that warrant further research. 202 Synthesis and Implications 6.3.3 Organisational Identity and Attributions of Responsibility The links from 'friendship prevalence' to 'job satisfaction' and 'organisational commitment' are aspects of the theoretical model that warrant further research. Much of the qualitative data with a focus on these variables indicates that people believe friendships improve their experience of work a great deal. Indeed, it makes intuitive sense that, if friendships make us happier in our workday, this positive affective response will cause us to be more satisfied with our job and, consequently, more committed to the organisation. Yet a friendship prevalence � satisfaction link was not convincing in the studies described in this thesis. Two possible variables, which may affect any relationship friendship prevalence might have with satisfaction and commitment, are (i) the degree to which employees identify with their organisation, and (ii) the degree to which employees will attribute positive outcomes of their friendships to the organisation. Defining organisational identity The social identity perspective of organisational identity defines it as the perception of sharing experiences of a focal group and sharing characteristics of the group' s members (Ashforth & Mael, 1 989; Mael & Tetrick, 1 992). In recent years interest in the topic of organisational identity has increased dramatically; there have been special issues devoted to the topic (Albert, Ashforth, & Dutton, 2000; van Knippenberg & Hogg, 200 1 ), and the number of articles whose titles and/or abstracts make reference to the term 'organisational identity' has risen exponentially since 1 988 (Haslam, Postmes, & Ellemers, 2003). In the workplace, employees might define themselves in terms of team, departmental, organisational or professional identities (Haslam et aI. , 2003 ; van Knippenberg & van Schie, 2000). In addition, other types of social identity can also become salient in organisations (e.g., based on gender, class, and ethnicity). Irrespective of the specific components defining these forms of organisational identity, each will define the individual in terms of a social identity that is shared with other members of an in-group but not with members of an out-group (Haslam et aI ., 2003). It is hypothesised that organisational members who identify strongly with the organisation (i .e., see themselves as part of the 'organisational in-group' ) may see their 203 Synthesis and Implications friendships at work as being connected to their relationship with the organisation, thus friendships will be more likely to have organisational outcomes for those with a strong organisational identity. If an employee views their -identity as wholly separate from their work identity, on the other hand, they are unlikely to define their relationships within the organisational context (Amason & Allen, 1 997) and may not, therefore, give credit to the organisation for the positive outcomes of their friendship. Defining attribution There are different types of attribution, and attribution theory can be applied to (i) understanding the causality for an event, (ii) assessing responsibility for a particular outcome, or (iii) assess the personal qualities of those involved in an event (Lord & Smith, 1 983). Relevant to the current enquiry, is the second type of attribution; assessing responsibility for an outcome. In this case, the focus is the presence of friendships at work, and whether or not employees will attribute positive outcomes of these friendships to the organisation. Although attributions concerning responsibility assessments are usually examined in the context of administering blame or sanctions (e.g., Hamilton, 1 980; Hamilton & Sanders, 1 992; Sanders, Hamilton, & Yuasa, 1 998), attributions have also been examined in the context of giving credit or reward for positive outcomes or behaviours (e.g., Allen & Rush, 1 998; Allen, Russell, & Rush, 1 994; Crant & Bateman, 1 993 ; Johnson, Erez, Kiker, & Motowidlo, 2002). Generally the attributions for responsibility are studied in the context of an individual (e.g. the behaviour of a leader, manager or employee) rather than an employing organisation. However, it may be possible to examine the degree to which employees attribute positive phenomena, such as friendships, back to the organisation (i.e., 'the organisation has made it possible or me to have these friends ') ; versus attributing the presence of friends to their own effort (i.e., '1 am a friendly person and 1 have put a lot of energy into developing and maintaining my friendships; 1 would have made these friends regardless of the organisational practices ') . It is hypothesised that if an employee attributes positive outcomes of their workplace friendships to the organisation, there will be an increase in organisational outcomes such as job satisfaction or organisational commitment. If, however, the individual does not 'give 204 Synthesis and Implications credit' to the organisation for their workplace friendships, the friendships are unlikely to result in an increase in job satisfaction or commitment. Adding attribution and identification to the theoretical model Attribution and identification can be added to the existing theoretical model as potential mediators. Figure 29 shows a hypothesised relationship between friendship prevalence and job satisfaction. Figure 29 shows that friendship prevalence will be associated with increased job satisfaction, but only if an employee either identifies strongly with their organisation or attributes the positive outcomes of friendships at work to their organisation. The relationships between job satisfaction and commitment, with intention to leave remain unchanged from the original model as these linkages were well supported by the current studies and are also in line with previous research (e.g., Porter et al . , 1 974; Riordan & Griffeth, 1 995; Tett & Meyer, 1 993). Friendship prevalence Attribution of positive outcomes of friendships to the organisation Identification with the employing organisation Organisational commitment Job satisfaction +--.... � Intention to leave Figure 29: The hypothesised mediating effect of identification and attribution, on the relationship between friendship prevalence and job satisfaction. An alternative relationship between the variables is shown in Figure 30. Here, whether or not an employee attributes positive outcomes of their friendships to the organisation is modelled as being a consequence of the degree to which they identify with their 205 Synthesis and Implications employer. According to this model, friendship prevalence will result in satisfaction if (and only if) the employee attributes positive outcomes of their friendships to the organisation, but the level of attribution is hypothesised to be dependent upon whether or not the individual identifies strongly with their organisation. Friendship prevalence Attribution of positive outcomes of friendships to the organisation Identification with the employing organisation Organisational commitment Job satisfaction +-__ � Intention to leave Figure 30: Alternative hypothesised mediating effect of identification and attribution, on the relationship between friendship prevalence and job satisfaction. The link between ' identification with their organisation' and 'attributions of positive outcomes of friendship' can, perhaps, be related to Pettigrew ( 1 979) who described the "ultimate attribution error." The ultimate attribution error is the tendency to internally attribute bad out-group and good in-group behaviour, and externally attribute good out­ group and bad in-group behaviour (Pettigrew, 1 979). A person who identifies strongly with their employing organisation (i.e., has strong organisational identity) will be likely to consider other organisational members, and the organisation itself, as aspects of their own in-group (Haslam et al. , 2003). Although Pettigrew focused on behaviour, and did not specifically discuss attributions for friendships, it is possible to take the theory a step further and, following Pettigrew's logic, hypothesise that any positive outcomes of belonging to the in-group will be attributed to internal causes (in this case, positive 206 Synthesis and Implications outcomes of friendships at work being attributed to a "good" organisation). On the other hand, an individual who does not identify strongly with the organisation (i.e., does not consider themselves to be part of the organisational in-group) will be less likely attribute positive outcomes of their friendships to the organisation. Instead, positive outcomes will be attributed to phenomena external to the organisation (most likely they will give themselves the credit for the positive outcomes of the friendships they have formed and maintained) . It is also possible that organisational identification acts as a moderator between friendship prevalence and job satisfaction; perhaps, as individuals identify more strongly with their organisation, the friendship prevalence � job satisfaction relation becomes stronger. It would be interesting, in the future, to empirically test these hypotheses, perhaps measuring 'organisational identification' and ' attribution for friendships' along with relationship factors and organisational outcomes. 6.4 Implications It is worth reflecting on how findings described in this thesis might be used by employing organisations, employees andlor organisational psychologists. First, can the findings be used to enhance the quality of work life? Second, are there some situations where the findings might have more relevance? Third, are there any possible negative applications? 6.4.1 Enhancing the Quality of Work Life Because findings in the current study implied that the situation, work environment and/or type of job affects the salience of friendships at work more than personal variables or individual differences, it may be that organisational psychologists aiming to engender organisational change in the area of interpersonal relationships should be turning their focus to situational / organisational variables rather than personal / individual ones. Organisational psychologists should not entirely disregard the traditional psychological focus on the individual, but perhaps they would be wise to maintain an awareness that, to increase the likelihood of positive outcomes both for organisations and individuals, they should look at situational variables such as friendly 207 Synthesis and Implications work environments, rather than focusing specifically on trying to increase the number of friends employees have. Making friends is something that employees will do for themselves if they want to, and may have little to do with characteristics of their occupation, organisation or job. Similarly, if organisational psychologists attempt to ascertain in which circumstances friendships in the workplace are most salient, they might do well to look not at individual differences in employees (such as needs), but rather at differences in the type of job people do. In other words, organisational psychologists should perhaps focus their attention on whether the role is interdependent (where relating meaningfully to others in an integral part of doing the job well), versus autonomous (where jobs can be done satisfactorily on one's own), when planning interventions related to workplace relationships, either for management or to improve individuals' work environments. The importance of situational factors is good news for management as, although there are limits to what an organisation can do in terms of planning interventions aimed at improving informal relationships at work, one thing that organisations can do is alter the work environment and associated 'office policy' or 'house rules;' specifically by increasing opportunities for friendships to form. The following items are the behavioural facets underlying the 'friendship opportunities' construct : .. Communication among employees is encouraged by my organisation. .. In my organisation I have the opportunity to talk informally and visit with others. .. I have the opportunity to get to know my co-workers. .. I am able to work with my co-workers to collectively solve problems. Thus, any intervention aimed at increasing opportunities for friendships in the workplace could logically include changes that would increase the likelihood of employees agreeing with the above statements. 208 Synthesis and Implications 6.4.2 Situations Where the Findings Might have More Relevance Given that it is important (in terms of satisfaction and organisational commitment) for organisations to provide friendship opportunities, will some organisations be likely to benefit more that others from organisational change that focuses on interpersonal relationships? The results of the third study indicate that those organisations with many organisational members working in highly interdependent work roles will benefit most. In addition, the third study implied that there is less need to focus on the individual differences or the needs of employees, as individual differences in needs did not seem to affect the linkages between friendship factors and organisational outcomes. For example, selecting employees based on their subjective needs may not be as productive as analysing the job characteristics, i.e., focusing on the situation or work environment. Another aspect of the work environment, that may affect how the findings reported in this thesis might be applied, is the gender composition of the workplace. One implication of the findings, suggesting that there are gender differences in the organisational outcomes of friendships, is that it may be useful to conceptualise relationship factors differently in predominantly male workplaces than in predominantly female ones. In male dominated work environments friendship prevalence is likely to be associated with increased job satisfaction. Therefore, an increased number of friendships will probably have positive organisational outcomes. In addition, because there were findings that sharing work with colleagues will be associated with an increase in friendships for men, jobs involving group tasks and teamwork are likely to increase friendships (and therefore satisfaction) in these male dominated work environments. For women, on the other hand, friendship prevalence is associated, not with an increase in satisfaction, but with a decrease in turnover. Where staff retention is an aim, organisations that are predominantly female could encourage the formation of friendships among the staff. In the context of Herzberg' s two-factor theory, friendships seem to operate as 'hygiene' factors for women. Herzberg maintained that hygiene factors cannot produce pleasure but, by their absence, will create dissatisfaction and consequently turnover. By this logic, although there is a link between satisfaction and 209 Synthesis and Implications fiiendship for men but not women, it is perhaps more essential to ensure that female employees have satisfying interpersonal relationships at work as, without them, they will be comparatively dissatisfied and may leave their jobs. Another aspect of an employees work environment, which was found to affect respondent' s experience of work, was the presence of negative relationships. Findings in the Internet Study (Chapter Four), that employees with at least one negative relationship (compared to those not reporting any negative relationships) reported significantly lower satisfaction and commitment and significantly increased intention to leave, imply that the impact of negative relationships on employees' experience of work may be even more substantial than that of fiiendships. Targeting interventions, aimed at improving workplace relationships, towards workgroups or dyads where negative interactions such as concealment, manipulation, conflict, disrespect, disagreement and/or animosity are frequent may be a way to improve morale and commitment. In addition, in their qualitative responses, respondents often mentioned the presence of a negative relationship as a reason they chose to leave their jobs; so attempting to reduce negative interactions between employees, perhaps by creating a more friendly and supportive work environment, may also be an effective way to reduce turnover. 6.4.3 Possible Negative Implications In Industrial Organisational Psychology it is not always clear who the client is; is it the individual or the organisation? Who is served by research and subsequent interventions or application of theory? As ethical researchers we must ask ourselves if there are any negative or dangerous implications to our findings; this is pursuant to aspects of Principle rv 5 2 of the Code of Ethics (2002). Can our research be misused? Can it be applied by organisations so that the outcome is detrimental to the individual? Although it is difficult to imagine a situation where application of the findings described in this 52 4. 1. Welfare of society. Psychological knowledge will be increased, and psychology will be practised, in such ways as to promote the welfare of society. 4.3. Benefit to society. Psychologists strive to ensure that psychological knowledge, when used in the development of social structures and policies, will be used for beneficial purposes. 4.4. Accountability, standards and ethical practice. Psychologists strive to ensure the appropriate and relevant use of psychological knowledge, practices and structures, and to avoid their misuse ("Code of Ethics for Psychologists Working in AotearoalNew Zealand," 2002). 2 1 0 Synthesis and Implications thesis could be misused, there is a link between a probable antecedent and a consequence of female friendships at work, which could perhaps go some way towards explaining why some women stay in aversive work environments. In light of the evidence that friendship prevalence may increase when employees are dissatisfied or unhappy in their jobs (Carr, 2003 ; Sias & Jablin, 1 995), it is possible that, although friendships at work can provide emotional support and enjoyment for employees, a high proportion of close relationships in the workplace may actually be symptomatic of problems within the organisation. When this possibility is considered alongside a finding that women are less likely to be planning to leave their jobs if they have friendships at work, it brings up an interesting ethical dilemma. Given the probability that women will form close friendships in poor work environments, coupled with findings that they will be inclined to stay in their jobs if they have friends at work, it is possible to imagine a situation where this link can be abused. If an organisation provides opportunities for friendships to form, in an . otherwise unsupportive or unpleasant work environment (two factors likely to increase the actual prevalence of friends) perhaps female employees will continue to work there, even though it is, perhaps, in their best interests to leave. Where is the incentive for management to improve conditions if the women will stay anyway, so long as they have friends? Although perhaps not directly applicable to the sample of respondents in the current study, it is possible to speculate about the processes described above operating in sweatshops and sewing factories. Given that at least some of them must have a choice, why do women put up with such terrible working conditions? In addition to sheer economic necessity, perhaps it is also partly the camaraderie and social support the women receive from their fellow employees; the close friendships they form may indeed be enough to reduce turnover. Recent works of fiction, based on real-life experiences of women in sewing factories, such as Brick Lane (Ali, 2003) and Four Fires (Courtenay, 200 1 ) have documented the lives of these women. Brick Lane, for example, gives a poignant account of the experiences of a woman in India, working in exploitative conditions which would be illegal in most countries, but who regards her time in the sewing factory as one of the happiest in her life, primarily because of her 2 1 1 Synthesis and Implications relationship with her "sisters" in the factory. A negative implication might therefore be, that an organisation can provide poor work conditions and, up to a point, bad quality supervision to a predominantly female staff and, so long as they make friends, they will remain in the organisation and turnover will be reduced. 6.5 Conclusion This study sits within the quality of work life movement, focusing both on the fulfilment of social needs in the workplace and on related organisational outcomes. Overall, findings indicate that improving the quality of work life by creating the opportunity for the fulfilment of social needs will have a profound effect, both on individuals and within organisations. It seems women, particularly, perceive their friendships at work to be an essential aspect of their work life. Individuals working in highly interdependent jobs are also likely to be affected by the presence of a friendly work environment. This may be solely due to aspects of the job, or may be because (related to Schneider' s ( 1 987) attraction/selection/attrition model), individuals who are more relationship focused may select more interdependent work roles, and those who do not have a relationship focus will be likely to be the first to leave a very interdependent job. 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Off the beaten track. (pp. 1 23 - 147). London: Sage. 23 1 Appendices Appendices Appendices for the Literature Review (Chapter 2) Appendix A : Riordan and Griffeth's (1995) Latent Variable Representation of Friendship Opportunity Model Friendship Opportunities Job Involvement Job Satisfaction Intention to Turnover 232 Organisational Commitment Appendices Appendix B: Richer, Blanchard and Vallerand's (2002) Model of Work Turnover 233 Appendices Appendix C: Antecedents, correlates and consequences to organisational commitment. From Mathieu and Zajac ( 1 990) A n te c e d e n t s Personal Characteristics Age Sex Education Marital status Position tenure Organisational tenure Perceived personal competence Ability Salary Protestant work ethic Job level Role states Role Ambiguity Role Conflict Role Overload Job Characteristics Skil l variety Task autonomy Challenge Job Scope Group Leader Relations Group cohesiveness Task interdependence Leader initiating structure Leader consideration Leader communication Participative leadership Organisational Characteristics Organisation size Organisational centralisation 234 C o r r e l a t e s Motivation Overall Internal Job involvement Stress Occupational commitment Union Commitment Job Satisfaction Overall I ntrinsic Extrinsic Supervision Co-workers Promotion Pay Work itself C o n s e q u e n c e s Job Performance Other's ratings Output measures Perceived job a lternatives Intention to search Intention to leave Attendance Lateness Turnover ORGANISATIONAL COMMITMENT Appendices Appendix D: Irvine and Evans ' (1995) Model of Nurse Turnover Behaviour. 235 Appendices Appendices for the Hospital Study (Chapter 3) Appendix 1 : Information Sheet [Massey University letterhead] An Investigation of Informal Relationships in Organisations Information Sheet Invitation Introducing the researcher Why we are doing this research Your input You are invited to take part in a study investigating informal interpersonal relationships in organisations. The research is a joint undertaking by Rachel Morrison, Massey University and Waitemata DHB. You have the right to not participate if you do not wish to. My name is Rachel Morrison, and I am interested in the effects of informal relationships on outcomes such as Organisational Commitment and Job Satisfaction. I am completing this research as part of my doctoral degree. All contact details are given below. The study of relationships in the workplace is important because informal social relations may offer significant and rewarding benefits to individuals. Friendships can provide increased communication, trust, respect, co-operation, support and security that, in turn, can influence work related attitudes and behaviours. On the other hand, there may be negative consequences of close friendships. The information obtained will be used to better understand the impact informal relationships on individuals and organisations. You can participate in the research by completing this set of questionnaires and surveys. The questionnaires will take 15-25 minutes to complete (depending on the amount of detail you choose to include in the open ended questions at the end.) 236 Protecting your privacy Your rights Appendices NO material that could personally identify you will be used in any of my reports, ensuring that the infonnation you provide is confidential and completely anonymous. No respondents will be identifiable by the organisation. Data will be archived and destroyed after a period of 5 years. You have the right to: • Decline to participate, • Refuse to answer any particular questions • Ask any questions about the study • Be given access to a summary of the findings of the study when it is concluded • Withdraw from the study at any time up until you have returned your anonymous set of questionnaires and surveys. Contact details Please feel free to contact my supervisor or me if you have any concerns or questions about this study. Who Massey Phone email University Rachel School of 02 1 1 1 42800 rachel .molTison. 3 @uni .massey.ac.DZ Momson Psychology (Researcher) Stuart Carr School of 09 443 9700 S.C.Carr@massey.ac.nz (Supervisor) Psychology extn 9073 Approval This project has been reviewed and approved by the Massey University Regional Human Ethics Committee, Albany Campus, Protocol MUAHEC 02/005 . If you have any concerns about the conduct of this research, please contact Associate-Professor Kerry Chamberlain, Chair, Massey University Regional Human Ethics Committee, Albany, ph 09 443 9799, email K.Chamberlain@massey.ac.nz 237 Appendices Appendix 2 : The Workplace Friendship Scale Listed below are a series of statements that represent opinions people might have about friendships in their organisation. Indicate the extent to which you agree with the statements about the organisation where you are now working (by circling the numbers), using the scale at the top of the Table. Items measuring the Friendship Opportunity Dimension I have the opportunity to get to know my co-workers I am able to work with my co­ workers to collectively solve problems In my organisation I have the opportunity to talk informally and visit with others Communication among employees is encouraged by my organisation I have the opportunity to develop close friendships at my workplace Informal talk is tolerated by my organisation as long as the work is completed Items measuring the Friendship Prevalence Dimension I have formed strong friendships at work I socialise with co-workers outside the workplace I can confide in people at work I feel I can trust many co­ workers a great deal Being able to see my co-workers is one reason I look forward to my job I do not feel that anyone I work with is a true friend (R) Strongly disagree 1 1 1 1 1 1 Strongly disagree 1 1 1 1 1 1 238 Disagree 2 2 2 2 2 2 2 2 2 2 2 2 Neither agree nor disagree 3 3 3 3 3 3 Neither agree nor disagree 3 3 3 3 3 3 Agree 4 4 4 4 4 4 Agree 4 4 4 4 4 4 Strongly agree 5 5 5 5 5 5 Strongly agree, 5 5 5 5 5 5 Appendix 3 : Relationships in the workplace 1 . Please read the definition of a SPECIAL PEER: Appendices You consider this person il best friend. You woultl be friends with this person even if you didn 't work together. You consider this person much more than merely a co-worker and feel you know each other very well. Are there any people who you work with who you would consider to be a special peer? (please circle) Yes No If yes, how many? 2 . Please read the definition of a COLLEGIAL PEER: This person is a work buddy. You might not share every detail of your life with this person, but this person is more than merely an acquaintance. You may consider this person a friend or a colleague and interact with this person fairly regularly on an equal basis. Are there any people who you work with who you would consider to be a collegial peer? (please circle) Yes �o If yes, how many? (approximately) ______ _ 3 . Please read the definition of an INFORMATION PEER: You do not know this person very well or feel very close to this person. You consider this person an acquaintance more than a friend. You do interact with this person on a fairly regular basis but you would probably not continue the relationship if you did not work here. Are there any people who you work with who you would consider to be an information peer? (please circle) Yes No If yes, how many? (approximately) _____ _ 4. Please read the definition of a NEGATIVE RELATIONSHIP: This person is not one of your friends. You do interact with this person on a fairly regular basis but you would definitely not continue the relationship if you did not work here. Your interaction with this person is characterised by disrespect, disagreement, dislike, conflict and/or animosity. You would rather not have to interact with this person. Are there any people who you work with who you would consider to have a negative relationship with? (please circle ) Yes No If yes, how many? 239 Appendix 4 : Dual Role Tension 1. Do you have a close friend (Specia l Peer) at (Plt�a se circle) work that is also someone who you work with? Appendices YES NO If YESRlease complete the following questionnaire with reference to the close fri(md . . 2. Have you have previously had a close (Please circle) friendship with a work-mate? YES If YES please complete the following questionnrure with reference to the close. friend . . J f NO you do not rieed to · complete this section: ' ·� . Listed below are a series of statements that represent possible feelings people might have about a friendship at work. Indicate the extent to which you agree with the statements (by circling the numbers), using the scale at the top of the Table, and referring to the friend you mention in question 1. or 2. (top of this page). ;" . . Overall, the friendship half and the work half of our relationship interfere with each other, creating problems for us. Our relationship would be a lot easier if we were only friends or only work associates instead of being both. Our work relationship and our friendship are often in conflict with one another. Problems rarely arise because our friendship and our work relationship are so much a part of each other. (R) It requires extra effort to maintain both the friendship side and the work side of our relationship. My friend and I have lowered our expectations about what we expect as both friend and co-worker in order to maintain our relationship. 240 Strongly . Dis,a.gree :distigree .. 1 2 1 2 1 2 1 2 1 2 1 2 Neither· agree . nor . .... disag1'ie 3 3 3 3 3 3 .Agree . 4 5 4 5 4 5 4 5 4 5 4 5 Appendix 5 : Measure .ofWorkgroup Cohesion Do you work as part of a work group or team? If YES please complete the following questionnaire, if NO you do not need to complete this section. (Please circle) Appendices YES NO Listed below are a series of statements that represent possible feelings people might have about their work group or team. Indicate the extent to which you agree with the statements with reference to your own work group or team (by circling the numbers), using the scale at the top of the page. Social Suppofi Being in my team gives me the opportunity to work as a team and provide support to other team members. My team increases my opportunities for positive social interaction. Members of my team help each other out at work when needed. Everyone on my team does their fair share of the work. No one on my team depends on other team members to do the work for them. Nearly all the members of my team contribute equally to the work. Members of my team are very willing to share information with other team members about our work. Strongly Disagree Neither disagree agree 1 2 1 2 1 2 1 2 1 2 1 2 1 2 nor d. I l.Sagree 3 3 3 3 3 3 3 Agree 4 4 4 4 4 4 4 Strongly agree 5 5 5 5 5 5 -=�----�----�------�--�--------------------------------------------=---Teams enhance the communication among 1 2 3 4 5 people working on the same product. ���--��--------------------�------------------------------------�---Members of my team cooperate to get the 1 2 3 4 5 work done. -------------------------------------------------------------------------- 241 Appendices Appendix 6: The Organisational Commitment Questionnaire 1 2 3 4 5 6 STRONGLY DISAGREE SLIGHTLY NEITHER SLIGHTLY AGREE 7 STRONGLY · AGREE DISAGREE DISAGREE AGREE Listed below are a series of statements that represent possible feelings people might have about the organisation for which they work. Indicate the extent to which you agree with the statements about the organisation where you are now working (by circling the numbers), using the scale at the top of the page. I describe this organisation to my friends as a great organisation to work for. I am willing to put in a great deal of effort beyond that normally expected III order to help this organisation be successful. I feel very little loyalty to this organisation. (R) I would accept almost any sort of job assignment in order to remain at this organisation. I find that my values and the organisation's values are very similar. I am proud to tell others that I am part of this organisation. I could just as well 'be working for a different organisation as long as the type of work was similar. (R) This organisation really inspires the very best in me in the way of job performance. It would take very little change in my present circumstances to cause me to leave this organisation. (R) I am extremely glad that I chose this organisation to work for over others I was considering at the time I joined. 242 1 1 1 1 1 1 1 1 1 1 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 [The Organisational Commitment Questionnaire] (continued) There's not too much to be gained by sticking with this organisation indefmitely. (R) Often, I find it difficult to agree with this organisation's policies on important matters relating to its employees. (R) I really care about the fate of this organisation. For me this is the best of all possible organisations for which to work. Deciding to work for this organisation was a definite mistake on my part. (R) 243 1 1 1 1 1 2 3 2 3 2 3 2 3 2 3 Appendices 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 Appendices Appendix 7: Job Satisfaction Questionnaire This questionnaire deals with your satisfaction with various aspects of your present job. Please indicate how satisfied or dissatisfied you feel with each of these aspects using the key below. Simply circle the number beside each job aspect that matches your answer. 1 2 3 4 5 7 Very Dissatisfied Dissatisfied Slightly Not Sure Dissatisfied Slightly Satisfied 6 Satisfied Very Satisfied 1 . The physical work conditions. 1 2 . The freedom to choose your own 1 method of working. 3 . Your fellow workers. 1 4. The recognition you get for good 1 work. 5 . Your immediate boss. 1 6. The amount of responsibility you are 1 given. 7 . Your rate of pay. 1 8 . Your opportunity to use your abilities. 1 9 . Industrial relations management and workers between 1 1 0. Your chances of promotion. 1 1 1 . The way the company is managed. 1 1 2 . The attention paid to suggestions 1 you make. 1 3 . Your hours of work. 1 1 4. The amount of variety in your job. 1 1 5 . Your job security. 1 16. Now, taking everything into consideration, how do you feel about 1 your job as a whole? 244 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 4 5 6 7 Appendices Appendix 8: Measure of Intention to Leave Listed below are a series of statements that describe your intentions in the near future. Please show your intentions for your present job using the scales below. Remember, all responses are confidential. 1 . How likely is it that you will actively look for a new job in the next year? (Please circle the number of your response) 1 2 3 4 5 NOT AT ALL · · SLIGHTLY · SOMEWHAT NEITHER QUITE LIKELY LIKELY LIKELY 2. I often think about quitting. (Please circle the number of your response) 1 2 3 4 STRONGLY DIsAGREE SLIGHTLY . NEITHER STR()NGLY DISAGREE DISAGREE' 3. I will probably quit my job in the next year. (Please circle the number of your response) 245 LIKELY 5 SLlGfitLY .AGREE . 6 HIGHLY LIKELY 6 .. .. �GREE . �.� .7 EXTREMELY LIKELY 7 .": . . AGREE Appendices Appendix 9 : The impact of informal relationships at work (Open ended Questions) Use the definition� for friendships and negative relationships (on the second page of this questionnaire) to help you answer these questions. If you feel that the definitions I have provided do not adequately define the friendships and negative relationships you have experienced, please feel free to change or comment on the definitions I have provided. 1 . Please briefly outline ways in which a friendship with one or more people with whom you work(ed) have benefited you in the workplace. 2. Please briefly outline ways in which a friendship with one or more people with whom you work(ed) have made your work more difficult. 3 . Please briefly outline how a negative relationship with someone with whom you work( ed) has made your work more difficult. 4. Please briefly outline how your work environment has facilitated or in some way enriched a friendship. 5 . Please briefly outline how your work environment has strained a workplace friendship. 6. Please briefly outline how your work environment has exacerbated (made worse) a negative relationship you have had at work. 246 Appendices Appendix 10: Demographic Information Appendix lOa: Demographic Information Sheet The following questions are about you. As with all the infonnation requested in this questionnaire, your response is confidential to Rachel Morrison. Only summary information will be made available. Therefore, no information will be fed back to Waitemata DRB which can identify any individual. 1. Age _________ years 2. Gender Male Female 3. What Ethnic group do you identify with? (e.g., N.Z. Maori, European, Indian etc) Please state --------------------- 4. How long have you worked in this organisation? 5. Which best describes your role? (Please circle) ____ years Clerical Teclmical Clinical Management Months ---- Other (Please state) __________ _ 8. Do you work a team I work group I unit? Yes 9. If yes, How many people are in your team I workgroup I unit? No 2-4 5-9 10- 14 1 5-20 More than 20 10. What is the n ame of your team I (Please state) ___________ _ I unit? Thank you for your help. Please check back through your answers to made sure that you have not missed any out. As mentioned before, the responses to these questionnaires are confidential and will be collated before use. No information that will in any way identify individuals will be made available to Waitemata DHB. r.K.aclie{ 1vf.omson 247 Appendices Appendix lOb: Pie Charts show�ng Demographics of sample for the Hospital Study Women 95% Men 5% Figure 1 Ob.1 : Gender of sample for the Hospital Study 60-68 years 1 0% 50-59 years 20% 22-39 years 1 3% 40-49 years 44% 30-39 years 1 3% Figure 1 0b.2: Age of sample for the Hospital Study Other 2% Oinical 79% Oerical Technical 3% Figure 10b.3: Work role of respondents to the Hospital Study 248 Maori 5% Pacific Island 3% Chinese 1 % Appendices Canadian 1 % NZ European or "New Zealander" 89% Phil ippine 1 % Figure 1 0b.4: Ethnicity of sample for the Hospital Study 60-68 years 1 0% 50-59 years 20% 22-39 years 1 3% 40-49 years 44% 30-39 years 1 3% Figure 1 0b.S: Tenure of sample for the Hospital Study 249 Appendices Appendix 1 1 : Reminder letter · Dear Waitemata DHB employee, The recent questionnaire Thank-you A plea What if I have mislaid my questionnaire? Contact me To return the questionnaire Recently you were ra:ndomly selected from employees of Waitemata DHB to receive a questionnaire on workplace relationships and were invited to take part in a study investigating informal interpersonal relationships in organisations. I would like to take this opportunity to thank those of you who have already returned the questionnaire; this type of research would not be possible without your assistance. For those of you who have not yet returned the questionnaire but do wish to participate, it is not too late, I am still receiving documents and every response is of value. The information obtained will be used to better understand the impact informal relationships have on individuals and organisations. If you no longer have the questionnaire but wish to participate, please contact Shelley Hughes and she will put a new one in the internal mail for you. Shelley Hughes, Management Secretary Community and Disability Services, Health West Building, Waitakere Hospital, Waitemata DHB. (or phone 8376632). If you have any questions or concerns please don't hesitate to contact me at rachel.morrison@xtra.co.nz or 021 1 1 42800. Either put the completed questionnaire in the return envelope provided or, if you prefer, you can mail it directly to me at the address below: Rachel Morrison (PhD candidate) School of Psychology Massey University (Albany Campus) Private Bag 102 904 North Shore MSC Auckland Thanks again for your time. (j(acfie[ ?rf. o rris o n 250 Appendices Appendix 12 : Scree Plots of factor analyses for the Hospital Study Scree P lot 7�--------------------------------------------� 6 5 4 3 2 3 5 7 9 1 1 1 3 1 5 1 7 1 9 2 1 Factor Number Figure 1 2.1 : In itial scree plot of the factor analysis of the friendship, cohesion and dual role tension measures Scree P lot 7�--------------------------------------------� 6 5 4 3 2 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 17 1 8 1 9 20 Factor Number Figure 1 2.2: Final scree plot of the factor analysis of the friendship, cohesion and dual role tension measures 25 1 Appendices Scree Plot 1 2�--------------------------------------------� 1 0 8 6 4 3 5 7 9 1 1 1 3 1 5 1 7 1 9 2 1 23 25 27 29 31 33 Factor Number Figure 1 2.3: Initial scree plot of the factor analysis of the satisfaction, commitment and leaving intention measures Scree Plot 1 0�--------------------------------------------� 8 6 4 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 19 2 0 Factor Number Figure 1 2.4: Final scree plot of factor analysis of the satisfaction, commitment and leaving intention measures 252 Appendices Appendix 13 : Factor analysis of all the measures together To further confinn that the scales used in the questionnaire were conceptually distinct, the six variables used in the path analysis were factor analysed together. As stated in Chapter Three, it is possible that the scales would tap into similar constructs, so the analysis is carried out to ensure that the scales are internally coherent and also distinct from the other. measures. The 54 items (i.e., a 1 2 item Friendships scale, a 9 item Cohesion scale, a 1 5 item Organisational Commitment scale, a 1 5 item Job Satisfaction scale and a 3 item Intention to Leave scale) were factor analysed with a maximum likelihood extraction and direct oblimin rotation. The solution was set to six factors to represent the six components (i .e., friendship opportunities, friendship prevalence, cohesion, organisational commitment, job satisfaction and intention to leave). See Figure 1 3 . 1 at the end of this section for the scree plot of this analysis. The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .8 1 . The resulting matrix accounted for 49.0% of the variance. Most of the items loaded on their hypothesised factors (refer Table 1 3 . 1 ) . of the a l l the measures . .-----------------�----.-�--.-�-.--� 253 Appendices lWorkplace Friendship Scale 5 .656 .47J IW orkplace Friendship Scale 1 0 .623 tworkplace Friendship Scale 1 1 .56C Y{orkplace Friendship Scale 1 2 .501 " Workgroup cohesion 2 .39� 31 � ntention to leave 3 .965 ntention to leave I .949 ntention to leave 2 .509 �ob Satisfaction Scale 9 .356 .340 �ol:) Satisfaction Scak 6 ptgilhisauoilal G6mmitm:erit: 7: � cia Satisfa,ctiou.-Scale ,J 4 �igarus;iition:al " CoIitiliiimerit' 3i tw orkgroup cohesion 9 .780 IW orkgroup cohesion 7 .696 IW orkgroup cohesion 6 .634 IW orkgroup cohesion 4 .593 W orkgroup cohesion 5 .58..: w.(;rl_ Scale 1 1 .563 Workplace Friendship Scale 1 2 .539 VI ork�roup cohesion 7 .732 W orkgroup cohesion 5 .669 W orkgroup cohesion 4 .666 IWorkgroup cohesion 9 .653 IW orkgroup cohesion 6 .633 1W0rkplace Friendship Scale 3 .747 lWorkplace Friendship Scale 4 .698 1W0rkplace Friendship Scale 2 .659 1W0rkplace Friendship Scale 6 .446 �pb:;S'atistlihliQq;S'c�l�� ;3�3 �ob Satisfaction Scale 5 .666 �ob Satisfaction Scale 1 1 .60 1 �ob Satisfaction Scale 4 .55C �ob Satisfaction Scale 9 .50 �ob Satisfaction Scale 1 3 . 4 1 Extraction Method: Maximum Likehhood. Rotation Method: Obhmm With Kaiser Nonnalization. Rotation converged in 9 iterations. Loadings less than .3 are not shown. Three final items were cross loading with other scales so were also removed; these are shaded in grey in Table 1 3 .2 above. A final factor analysis, with the solution still set to six factors to represent the six components accounted for 55 .8% of the variance, and revealed six distinguishable factors representing the six scales (refer Table 1 3 .3). Each of the items loaded on the expected factor. The scree plot for the final factor analysis is shown at the end of this 255 Appendices section as Figure 1 3 . 3 . The Kaiser-Meyer-Olkin Measure of Sampling Adequacy had a value of .826. Table 1 3.3: 5 econ d P tt a ern M t ' f th f t a nx o e ac or analysIs 0 f th 11 the measures. e a facto 1 2 3 � 5 . � �ganisational Commitment 6 .889 K:>rganisational Commitment 1 .841 Organisational Commitment 14 .777 Organisational Commitment 10 .741 Organisational Commitment 5 .7 1 5 Organisational Commitment 1 5 .538 Organisational Conunitment 2 .520 Organisational Commitment 9 .382 Organisational Conunitment 13 .34 1 ntention to leave 3 .95� ntention to leave 1 .874 Ilntention to leave 2 .438 lWorkplace Friendship Scale 7 .844 lWorkplace Friendship Scale 8 .721 Workplace Friendship Scale 9 .623 Workplace Friendship Scale 1 2 .580 Workplace Friendship Scale 1 1 . 5 19 W orkgroup cohesion 7 .7 10 W orkgroup cohesion 4 .676 W orkgroup cohesion 9 .674 W orkgroup cohesion 5 .666 IW orkgroup cohesion 6 .654 IWorkplace Friendship Scale 3 .787 lWorkplace Friendship Scale 4 .72 1 lWorkplace Friendship Scale 2 .652 lWorkplace Friendship Scale 6 .432 �ob Satisfaction Scale 5 .683 �ob Satisfaction Scale 4 .604 �ob Satisfaction Scale 1 1 . 587 �ob Satisfaction Scale 9 .558 �ob Satisfaction Scale 1 3 . 4 1 3 Extraction Method: MaXimum Likelihood. Rotahon Method: Oblirrun With Kaiser Normalization. Rotation converged in 7 iterations. Loadings less than .3 are not shown. The items remaining in Table 1 3 .3 are almost identical to those remaining after the two separate factor analyses described in Chapter Three. The main difference between this factor analysis and the one described in Chapter Three are the job satisfaction items. While the items remaining after the analysis above are 4, 5, 9, 1 1 and 1 3 ; the remaining items in the analysis described in Chapter Three are 4, 5, 6, 7, 9, 1 1 and 1 5 . Other than this discrepancy the two analyses yielded remarkably similar results. 256 Cl) .2 ('IJ > c Cl) Cl W Appendices Scree Plot 1 6�--------------------------------------------� 1 4 1 2 1 0 8 6 � 4 2 4 7 1 0 1 3 16 1 9 22 25 28 31 34 37 40 43 46 49 52 Factor Number Figure 1 3.1 : First scree plot of the factor analysis of all six measures in the questionnaire Scree P l o t 1 2.--------------------------------------------. 1 0 8 6 4 3 5 7 9 1 1 1 3 1 5 1 7 1 9 21 23 25 27 29 31 33 35 Factor Number Figure 1 3.2: Second scree plot of the factor analysis of al l six measures in the questionnaire 257 Appendices Scree Plot 1 0 .- ----------------------------------------------. 8 6 4 3 5 7 9 1 1 13 15 17 1 9 21 23 25 27 29 31 Factor Number Figure 1 3.3: Final scree plot of the factor analysis ..of all six measures 258 Appendix 14 : AMOS output: the Hospital Study Appendix 14.1 Standardised Regression Weights Standardi zed Regression Weight s : Appendix 14.2 JS SUM <----- F 0 SUM JS SUM <----- COH SUM F P SUM <--�- F 0 SUM F P SUM <-- - - COH SUM - OCQ SUM <---- COH SUM - - OCQ SUM <----- JS SUM - - OCQ SUM <---- F 0 SUM - ITL SUM <---- F P SUM - I TL SUM <----- JS SUM - - I TL SUM <---- OCQ SUM - - ITL SUM <---- COH SUM Estimat e 0 . 2 7 1 0 . 2 8 7 0 . 3 0 7 0 . 2 3 0 -0 . 0 3 9 0 . 5 8 6 0 . 1 65 -0 . 1 5 4 -0 . 2 97 -0 . 2 4 2 -0 . 0 0 1 Appendices 95.0% Standardised (Beta) Weights and confidence intervals (bias corrected percentile method) Standardized ( Bet a ) Weight s : Lower Upper Bound Bound p JS SUM <----- F 0 SUM 0 . 0 9 8 0 . 4 4 4 0 . 0 1 1 JS SUM <----- COR SUM 0 . 02 9 0 . 4 8 4 0 . 0 1 3 F P SUM <---- F 0 SUM 0 . 07 8 0 . 4 5 4 0 . 0 4 6 F P SUM <---- COH SUM 0 . 03 0 0 . 4 5 9 0 . 02 5 · ·�HW.1\'"�� m��n.r.'i�;�§.@iR��,d"Y�Nlii\'Iii� g€;��!ifi �7tiI �iIBi!t.�.:ttflM.�ii. . � � OCQ SUM < - -- - - JS SUM 0 . 4 3 9 0 . 7 0 8 0 . 0 1 9 � t __ _ ITL SUM <---- F P SUM -0 . 3 2 2 - 0 . 0 0 9 0 . 0 4 6 I TL SUM <----- JS SUM -0 . 5 0 5 - 0 . 1 07 0 . 00 4 - - I TL SUM <---- OCQ SUM -0 . 4 0 8 - 0 . 0 6 1 0 . 0 3 4 [1li:YW$15t;;(���tiiQ�j,m��.!'1�'i'{)M�lf?� ��J,l!.lI,)\.�� i".:Lt�'· .�; .. d,:.a.. ��i?ii�i£.�� . .J. &f ��..-}� �;t1rL -£rlG ;��'4.:� 259 Appendices Appendix 14.3 Regression weights and critical ratio values, (shading indicates a non-significant regression) Maximum Likelihood Estimates Regres sion Weight s : Estimate S . E . C . R . JS SUM <----- F 0 SUM 0 . 8 4 6 0 . 27 0 3 . 1 3 6 JS SUM <----- COH SUM 0 . 67 8 0 . 2 0 3 3 . 3 3 5 F P SUM <--- - F 0 SUM 0 . 602 0 . 1 7 2 3 . 4 97 F P SUM <--- - COH SUM 0 . 3 4 3 0 . 1 3 0 2 . 6 4 5 9G:g7$.:Q��,r-S-':{,�RK��m1T:. �;:� ·.,::::Q�IA4=4.L·:2:9.7�17.���{�!.E9�fi"� OCQ_SUM <----- JS SUM 0 . 7 87 0 . 1 0 5 7 . 4 63 OCQ_SUM <---- F 0 SUM 0 . 7 09 0 . 32 6 2 . 1 7 9 ITL SUM <--- - F P SUM -0 . 158 0 . 08 4 - 1 . 8 8 6 ITL SUM <----- JS SUM -0 . 1 90 0 . 0 67 -2 . 8 2 8 I TL SUM <--- - OCQ SUM -0 . 1 1 8 0 . 0 4 7 -2 . 4 8 5 ��tL?;$bM <��.::::' j:j2�: ::?Ejg:;�'t��-!{�;:t:�'0�7:qfl1�:� Appendix 14.4 Indices of fit for Model 1 Summary of models Model NPAR CMIN DF P CMIN/DF ---------------- --------- --------- --------- Rachel ' s model 15 6 . 663 6 0 . 3 5 3 1 . 1 1 0 Saturated model 2 1 0 . 0 00 0 Independence model 6 67 . 8 2 4 1 5 0 . 0 00 4 . 52 2 Zero model 0 3 6 3 . 000 2 1 0 . 0 00 1 7 . 2 8 6 Model RMR GFI AGFI PGFI ---------------- ---------- ---------- ---------- ---------- Rache l ' s model 1 . 4 1 5 0 . 9 8 2 0 . 9 3 6 0 . 2 8 0 Saturated model 0 . 0 00 1 . 000 Independence model 20 . 590 0 . 8 1 3 0 . 7 3 8 0 . 58 1 Zero model 3 0 . 2 98 0 . 0 0 0 0 . 0 00 0 . 00 0 DELTA1 RH01 DELTA2 RH02 Model NFI RFI I FI TLI CFI ---------------- ---------- ---------- --------- - ---------- ------- Rachel ' 5 model 0 . 902 0 . 7 5 4 0 . 98 9 0 . 9 6 9 0 . 9 8 7 Saturated model 1 . 000 1 . 0 00 1 . 0 0 0 Independence model 0 . 000 0 . 0 00 0 . 000 0 . 00 0 0 . 0 0 0 Model PRATIO PNFI PCFI ---------------- ---------- ---------- ---------- Rachel ' 5 model 0 . 4 00 0 . 3 61 0 . 3 95 Saturated model 0 . 000 0 . 0 0 0 0 . 000 Independence model 1 . 0 00 0 . 0 0 0 0 . 0 00 260 Appendices Model NCP LO 90 HI 90 ---------------- ---------- ---------- ---------- Rache l ' s model 0 . 6 6 3 0 . 000 1 1 . 3 1 2 Saturated model 0 . 000 0 . 000 0 . 0 00 Independence model 52 . 824 3 0 . 9 4 6 8 2 . 2 4 5 Model FMIN FO LO 90 HI 9 0 ---------------- ---------- ---------- ---------- ---------- Rache l ' s model 0 . 0 55 0 . 0 0 5 0 . 00 0 0 . 0 93 Saturated model 0 . 000 0 . 000 0 . 0 00 0 . 0 0 0 Independence model 0 . 5 61 0 . 4 3 7 0 . 2 5 6 0 . 6 8 0 Model RMSEA LO 90 HI 90 PC;LOSE ---------------- ---------- ---------- ---------- ---------- Rachel ' 5 model 0 . 030 0 . 0 00 0 . 1 2 5 0 . 53 6 Independence model o . 17l 0 . 1 3 1 0 . 2 1 3 0 . 0 0 0 Model AIC BCC BIC CAIC ---------------- ---------- ---------- ---------- ---------- Rachel ' 5 model 3 6 . 663 3 8 . 505 1 0 5 . 5 99 9 3 . 7 2 3 Saturated model 4 2 . 000 4 4 . 57 9 1 3 8 . 5 1 1 1 2 1 . 8 8 4 Independence model 7 9 . 8 24 8 0 . 561 1 0 7 . 3 99 1 02 . 64 8 Zero model 3 63 . 000 3 63 . 000 3 6 3 . 0 00 3 63 . 0 0 0 Model ECVI LO 90 HI 90 MECVI ---------------- ---------- ---------- ---------- ---------- Rachel ' 5 model 0 . 3 03 0 . 2 98 0 . 3 9 1 0 . 3 1 8 Saturated model 0 . 3 4 7 0 . 3 4 7 0 . 3 4 7 0 . 3 68 Independence model 0 . 6 60 0 . 4 7 9 0 . 90 3 0 . 6 6 6 Zero model 3 . 000 2 . 520 3 . 5 4 2 3 . 0 0 0 HOELTER HOELTER Model . 05 . 0 1 ---------- ------ ---------- ---------- Rachel ' 5 model 229 3 06 Independence model 4 5 5 5 Zero model 1 1 1 3 261 Appendices Appendix 15 : Summary of answers to qualitative questions: the Hospital Study 1 . Please briefly outline ways in which a friendship with one or more people with whom you work( ed) have benefited you in the workplace. Answer Number of respondents answering in this way Makes work more pleasant / fun / look forward to/enjoy coming to work. 24 Compassion / consideration / confiding / listenin� 21 Social support 2 1 Learning from more experienced colleagues / advice / mentoring 20 Improves communication / information exchange between colleagues / honesty / trust 20 Professional /practical help and support / workload sharing 20 Bounce ideas off / shared problem solving / sounding boards 1 3 Sharing celebrations / laughs 8 Being able to rely on / count on colleagues 7 Leads to friendships / social activities out of work time. 7 Enhanced feeling of acceptance / feel part of team / improves teamwork 6 Helped when things are negative/busy at work / made bad situation bearable 6 Improves mood / makes me feel better 5 Reduces stress 5 Improves confidence in ability 5 Improved job satisfaction 4 Enhances standard of work / professional development 2 Career advancement 1 Choose NOT to have particular bonds / friends at work. 1 2. Please briefly outline ways in which a friendship with one or more people with whom you work( ed) have made your work more difficult. Difficult to criticise friends / wont complain when they are friends, more likely to put up with 6 a bad situation. Distraction from work related tasks 3 Conflict of interest / don't want to do or say what should be done, in case I �set my friend 3 Friends expecting special treatment, favours 3 Having to take a peace-maker role between friend and management / between two �eers 2 Difficult to be objective / biasedp_erformance reviews 2 Truthful friends at work can seem like criticism / difficult to receive criticism from friends 2 Friendship breaking down and becoming verbally violent / difficult to trust 2 Difficult to have a close friendship with someone you manage when addressing performance 2 issues / peer reviews Always keep work and personal relationships �arate so NO conflict arises 2 Having to "tip toe" around friend/workmate in a bad mood 1 Confidentiality issues 1 Gossip between workmates concerning me 1 Friend not getting along with others in team 1 Negativity / dissatisfaction / negative opinions of a friend can influence me 1 Being "tarred with the same brush" as a dissatisfied / trouble making friend � the boss 1 Having to phrase instructions / teaching so as not to sound condescending to a friend / not to 1 offend 262 Appendices Can create unfairness People at work knowing aspects of my personal life Jealousy between friends Friend decided to keep work and personal life entirely separate, creates tension, friendship ended Causing others to feel left out When one friend is promoted in the place of another Getting intimately / romantically involved 3 . Please briefly outline how a negative relationship with someone with whom you work(ed) has made your work more difficult. Feeling anger / discomfort / stress / unhappiness More difficult to communicate ideas and needs / communication breakdown / withholding information Reluctance to talk with / interact with the person / avoiding the person Demotivates other team members / interferes with team work / weakens sense of team Disrupts work / breaks concentration /�et less work done Creates an un�leasant work environment / not wanting to come to work Changing bookings / schedules to avoid the person, interferes with getting my work done. Reduces job satisfaction The person influencing other team members, making relationships with them difficult also. Find it difficult to be positive / effective in other aspects of my j ob if I am already frustrated by this person Lack of trust in people and work environment Gossip / back-biting is destructive Decreases my confidence Feel I cannot speak up against the person who acts in a way that is detrimental to our client's well-being Being embarrassed by the person's 'behaviour The person receives special treatment and favours, the rest of us do her work The person setting me up as not performing Lack of confidence in my initiative, over-supervises me Waste of time dealing with that person's actions 1 1 1 1 1 1 1 20 17 9 8 7 5 5 3 3 3 3 2 2 1 1 1 1 1 1 4. Please briefly outline how your work environment has facilitated or in some way enriched a friendship. Met / made friends as a result of us working together / proximity / team work 25 Shared work experiences give an extra bond / common ground 14 Work environment allows us to talk and socialise / friendly environment 8 Offering I receivin� social / professional support to workmates has facilitated friendship 8 Open plan / shared office allows lots of contact with others 6 We are able to take tea breaks together, gives opportunity to catch up / debrief 5 Allowed me to meet a variety of people / people from different backgrounds 4 Working as a team / team work encourages communication 4 Professional respect for my colleagues 3 Similar ideas / goals leads to appreciation of other's achievements 2 Spending time together on "away days" team building 2 Our work sUEEorts families, shared family experiences creates a bond 2 Night shift provides a quiet place to talk, get to know colleagues 1 263 Appendices Through being open and being able to discuss things with team members, builds relationships 1 Learning tolerance of other ways of life 1 We don't see much of each other in my team so when we do we make the most of this 1 precious time Management doesn't listen so we turn to each other 1 Our manager encourages teamwork / innovation 1 Poor work conditions mean we rely on each other more 1 The supervisor scheme partnered me with a great supervisor who has become a good friend / 1 support 5 . Please briefly outline how your work environment has strained a workplace friendship. Heavy workload / unable to find time for breaks / unrealistic expectations of management 3 When the case load is heavy and a peer doesn't help share others workload / others not 2 pulling their weight If one person is promoted or received duties another wants / j ealousy 2 Separate offices split up teams / friendship not maintained when I stopped sharing office 2 space with them Having to discipline them at work has strained the friendship 1 New structures / policies making teamwork impossible 1 Lack of support by senior management 1 Peer appraisal system, a peer wrote about me negatively, ruined the friendship 1 When a colleague has failed to provide a needed service 1 DurinK busy / stressful times colleagues unfriendly and snap 1 When working closely together, you must be seen to be treating all team members equally 1 some team members think you are showing favouritism and get annoyed Open plan environment, noisy and can't get away from each other 1 Having different goals or objectives has sometimes strained a friendship 1 Not giving a friend a promotion she thought she deserved ended the friendship. 1 When friends are dissatisfied with work, results in strain 1 6. Please briefly outline how your work environment has exacerbated (made worse) a negative relationship you have had at work. Have to work in a close confined space with people I have a negative relationship with / 8 havin� to work closely / regularly with the person Heavy workload / fatigue 3 Being busy and short staffed adds to pressure, leaves no time to deal properly with conflicts 2 Workplace politics 2 The team grouping together to discuss negative aspects of a team member exacerbates the 2 situation / gossip Lack of communication 2 Inability of management to effectively deal with a negative issue - making one side do all the 2 mediation Senior staff unwilling to support nurses during personal unhappy times 1 Unclear roles and communication from management mean relationships are ambiguous 1 Slow organisational change, slow to act on recommendations 1 Relationship not being handled well by management 1 Being told to take an issue (being accused of something I didn't do) no further by 1 management has meant that person still believes I am wrong Lack of academic colleagues to talk to 1 264 Appendices Having to correct an individual without them taking it personally 1 Disagreements about care delivery 1 Inappropriate person promoted to senior role 1 Poor morning tea / lunch facilities 1 265 Appendices Appendices for the Internet Study (Chapter 4) Appendix 16 : Needs Assessment Questionnaire This scale contains 20 statements that may describe you and the types of things you may like to do. Indicate the extent to which you agree with each statement using the scale at the top of the Table. Strongly ·Disagree Neither ,Agree. ;.��ngJ� . : disagree agree nor . . . : ·agree ': . disa�ee I try to perfonn my best at work. (nAch) 1 2 3 4 5 I spend a lot of time talking to other people. (nAff) 1 2 3 4 5 I would like a career where I have very little 1 2 3 4 5 supervision. (nAut) I would enjoy being in charge of a project. (nDom) 1 2 3 4 5 I am a hard worker. (nAch) 1 2 3 4 5 I am a "people" person. (nAff) 1 2 3 4 5 I would like a job where I can plan my work schedule 1 2 3 4 5 myself. (nAut) I would rather receive orders than give them. (R) 1 2 3 4 5 (nDom) It is important to me to do the best job possible. 1 2 3 4 5 (nAch) When I have a choice, I try to work in a group instead 1 2 3 4 5 of by myself. (nAff) I would like to be my own boss. (nAut) 1 2 3 4 5 I seek an active role in the leadership of a group. 1 2 3 4 5 (nDom) I push myself to be "all that I can be." (nAch) 1 2 3 4 5 I prefer to do my own work and let others do theirs. 1 2 3 4 5 (R) (nAff) I like to work at my own pace on job tasks. (nAut) 1 2 3 4 5 I fmd myself organizing and directing the activities of 1 2 3 4 5 others. (nDom) I try very hard to improve on my past perfonnance at 1 2 3 4 5 work. (nAch) I try my best to work alone on a work assignment. (R) 1 2 3 4 5 (nAff) In my work projects, I try to be my own boss. (nAut) 1 2 3 4 5 I strive to be "in command" when I am working in a 1 2 3 4 5 group. (nDom) 266 Appendices Appendix 17: Respondents' occupations (Internet Study) Respondents 1-120 1 Project Manger 41 81 Project Advisor 2 Business Analysis 42 Project coordinator on 82 Probation officer a study 3 Marketing Co-ordinator I Administrator 43 Senior Accountant 83 Teacher (Qualified) 4 PhysiotherapisUacupuncturist 44 Sales Rep 84 Account executive 5 Manager 45 Toolmaker 85 HR AdviserlOffice Manager 6 Office-all-round employee, to finance my 46 Change Manager 86 Registered nursel staff 2. studies at university nurse 7 Senior lecturer 47 Lifeguard 87 Administration 8 Professor 48 Sandwich Artist 88 North Island Customer Services Manager 9 Research assistant 49 Account Manager 89 Brand Manager 10 Senior Consultant 50 Statistician 90 Research fellow 1 1 Customer Service Consultant 51 Account Manager 91 Office Manager 12 Teacherlresearcher 52 Editor & Copywriter 92 Telephone interviewer 13 Senior development officer 53 Supervisor, Medical 93 Server Staff Services 14 Assessment Coordinator 54 Design engineer 94 Office Manager 15 Lecturer 55 Programme co- 95 Sponsorship manager ordinator 16 Teller 56 96 Education Officer 17 Human Resources Consultant 57 Systems admin 97 PhysiotheraQist 1 8 Research fellow 58 Management 98 Statistician 19 Teacher 59 Physiotherapist 99 Account Manager 20 Psychologist 60 Lending Supervisor 1 00 Consultant 21 Senior Lecturer 61 Case Manager 101 AnalysUconsultant 22 Lecturer 62 Consultant 102 Consultant 23 Commanding officer 63 Consultant 103 Digital Media Specialist 24 Health worker 64 Advertising 104 Communications coordinator manager 25 Lecturer 65 Interim Manager 105 Medical writer 26 Psychologist 66 Senior Clinical 106 Publicist Psychologist 27 Education Facilitator 67 Consultant 107 Nurse 28 Project manager 68 PAlSecretary 108 Clerical receptionist 29 Software analyst 69 Personal Assistant 109 Sales Consultant 30 Partner 70 Senior Systems 1 1 0 Nurse Consultant 31 E-Commerce Project Manager 71 Small Business 1 1 1 Counsellor Manager 32 Research Associate, Search Team 72 Case Manager 1 1 2 Service Del ivery Manager 33 Head of development 73 Graduate student 1 1 3 Principal of a K-8 school 34 Consultant 74 Retailer Sales 1 1 4 Shipping Manager 35 MarketinQ Executive 75 Registered nurse 1 1 5 User Support Manager 36 Telemarketer 76 Interviewer 1 1 6 Software Development Consultant 37 Consultant 77 Marketing Co- 1 1 7 Clerical ordinator supporUCustomer Service 38 Senior Tutor 78 GM Finance 1 1 8 Sales associate 39 Investigator 79 Marketing & 1 1 9 Senior lecturer Communications Adviser 40 HR Advisor 80 Project Manager 120 Senior lecturer 267 Appendices Appendix 17 (continued) R d t 121 240 es pon en s - 12 1 Accounts/Debt controller 1 61 I ntern Architect 201 Sales Secretary 1 22 Research ergonomics 1 62 Doctor 202 Partner 1 23 Interviewer 1 63 Psychologist 203 Account Manager 1 24 Senior lecturer, curriculum 1 64 Staff scientist 204 Lab technician leader, programme leader 1 25 Pharmacist 1 65 Veterinarian 205 Manager 1 26 Reception / Customer 1 66 General Manager 206 Manager Services 1 27 Educator 1 67 Nurse educator 207 Sales/pre-sales 1 28 Lecturer 1 68 Human Resources 208 Customer Relations Director Manager 1 29 Evaluations Manager 1 69 Managing Director 209 sales assistant 1 30 Operations Manager 1 70 Detachment 2 1 0 Commander 1 31 E learning manager 1 7 1 Psychologist 2 1 1 Account Manager 1 32 Advisor 1 72 Massage therapist 2 12 Administration Assistant 1 33 Coordinator 1 73 Appraisals 2 13 SEO Administrator 1 34 Consultant 1 74 Publicity & Promotions 214 Chiropractor 1 35 N/A 1 75 Scientist 2 15 Sales administrator 1 36 Planner 1 76 Manag_er 216 Account manager 1 37 IT Manager 1 77 HR Manager 2 17 Adjunct professor 1 38 Researcher 1 78 Employment 218 e Leaming Advisor Consultant 1 39 I ntermediate/Senior foreign 1 79 Technical Officer 219 ACCOUNTS exchange consultant ADMIN ISTRATION 1 40 Customer Retention ManaQer 1 80 Technician 220 Front desk 1 41 Marketing Manager 1 8 1 Commercial Traffic Co- 221 Administrator ordinator 1 42 Staff member ( salesperson, 1 82 Ass!. Manager 222 Swimming Lesson secretarial work too) Instructor/ Lifeguard 1 43 Surgeon 1 83 Registered Nurse 223 Support Officer 1 44 Credit scoring analyst 1 84 Scientist 224 PA 1 45 Claims officer 1 85 Teacher/Media 225 Regional On Premise Specialist Manager 1 46 Claims officer 1 86 Teacher/Media 226 Advertising Co-ordinator Specialist 1 47 Claims officer 1 87 Communications 227 Psychologist (that gives it coordinator away!) 1 48 Claims officer 1 88 228 Personal Assistant 1 49 Statistician 1 89 Analyst 229 Communications Manager 1 50 Statistician 1 90 Designer 230 Social Worker 1 51 Marketing Executive 1 91 New Business & 231 Director Marketing Manager 1 52 Project Engineer 1 92 Subeditor 232 Legal Secretary 1 53 it manager 1 93 Ride OperatorlTeam 233 Knowledge Manager Lead 1 54 Account Manager 1 94 Supervisor 234 Registered Nurse 1 55 $tatistician 1 95 Product Development 235 Engineer 1 56 Graphic Designer 1 96 Data Entry Operator 236 Training Manager 1 57 Senior graphic designer/art 1 97 Copyeditor/book 237 Officer director designer 1 58 Resident doctor 1 98 Executive assistant 238 Community Librarian (manager) 1 59 IT Manager 1 99 Account Manager 239 Registrar/Director of Admissions 1 60 Web developer 200 Corporate Sales 240 Planner Manager 268 Appendices Appendix 17 (continued) R d t 141 360 es �on en s - 241 PhD student / tutor 281 Supervisor 321 Researcher 242 Corporate Human Resources 282 Librarian 322 Data Services Manager Advisor 243 Parks Policy & Planning 283 Clinical psychologist 323 Project manager ManaQer 244 Lecturer 284 Croupier/Dealer 324 Senior researcher 245 Project Manager 285 325 Research fellow 246 Prolect Coordinator 286 326 Research Scientist 247 287 ReQional Manager 327 Research technician 248 Manager 288 Clinical Nurse 328 Research Co-ordinator Specialist 249 Parks Policy & Planning 289 Typist 329 Assistant research Advisor fellow/PhD student 250 Sales Representative 290 Centre ManaQer 330 PhD student / technician 251 Trade Research Executive 291 Health Educator 331 252 Assistant Manager 292 Guest Services 332 Project manager Representative 253 Corporate account support 293 Supervisor 333 Marketing Product Specialist 254 Field Service Rep 294 Senior software 334 Senior lecturer enQineer 255 Account Executive 295 Test Analyst 335 Teacher 256 Lease Administrator/Assistant 296 Software Consultant 336 Doctor to Special Projects Manager 257 Asst. Professor 297 Senior Engineer 337 Case manaQer 258 Administrator 298 Account manager 338 Nurse ManaQer 259 Change Director 299 339 Lecturer 260 Supervisory Epidemiologist 300 Research assistant 340 Business Development manager 261 Researcher 301 Senior Account Director 341 Secretary 262 Director 302 Web Developer 342 Managing small national service 263 Associate Dean 303 Accounting clerk 343 General Manager Operations 264 Instructor 304 Lecturer 344 Research nurse 265 PsycholoQist 305 AccountinQ technician 345 Teacher 266 Clerk 306 Research 346 Accountant Assistant/Marker 267 Senior Lecturer 307 Senior Accountant 347 Senior lecturer 268 Pacific co-ordinator 308 Sales Representative 348 Hon. Ass. Research Fellow 269 UnderwritinQ ManaQer 309 Network Engineer 349 Student Services Manager 270 SUQervisor 31 0 Marketirlg Assistant 350 Senior Lecturer 271 Data cleansing 31 1 PhD student (doing 351 Office Manager research) 272 Administrative 31 2 Project Manager 352 Webmaster 273 Account Manager 31 3 Chief EnQineer Officer 353 Research/ Admin istration 274 Waitress 314 Administrator 354 Research fellow 275 Head of Technical Training 31 5 Operations Manager, 355 Research assistant Project Office secretary Animal Ethics Committee 276 Assistant office manaQer 31 6 Post-doctoral fellow 356 PA / Administrator 277 Undergraduate Assistant 31 7 Duty Manager/ 357 WP operator Waitperson 278 Operational/Managerial 318 358 Solicitor 279 Stockroom manager/Human 31 9 Research administrator 359 Legal Secretary resources 280 Human Resources 320 Office Tea Girl 360 Teacher 269 Appendices Appendix 17 (continued) R d t 361 412 es pon en s - 361 Group Business ManaQer 381 MarketinQ Co-ordinator 401 Cook 362 Service co-ordinator (six 382 Senior Product 402 Police inspector services under one umbrella) Manager 363 Solicitor 383 Secretary 403 Lecturer 364 Sol icitor 384 Research 404 Member Services manager/officer Administrator 365 Solicitor 385 Senior Lecturer 405 Director 366 Administrative Assistant 386 Stockbroker 406 Personal Assistant 367 Sol icitor 387 Reception 407 368 Social worker 388 Commercial manager 408 HR Rep/Office Manager 369 Departmental Administrator 389 I nternet developer 409 Sr. Network EnQineer 370 Admin 390 Director Global Supply 410 Scientist Chain 371 Psychologist 391 Clinical Cytogenetics 41 1 Insurance/Bil ling T echnoloQist 372 Consultant / senior lecturer 392 Secretary 412 Ph.D. student 373 Reception (Relief) 393 Dietician 374 Senior Lecturer, Paediatrics 394 Operations manager 375 Research Nurse 395 Lawyer 376 Research technician 396 Teacher 377 Quality Assurance Officer 397 Core faculty & director of fieldwork 378 Clinical Director 398 Manager 379 Senior research fellow 399 Staff physiotherapist 380 WP Operator 400 Graduate Student 270 Appendices Appendix 18: Indices of fit for the Internet Study Appendix 18a: Fit indices for workplace friendship scale with items 6, 9 and 10 removed (Random 2) Summary of models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model S aturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR CMIN OF 1 9 4 5 9 123 . 0 63 0 . 000 7 82 . 07 1 2 6 0 3'6 RMR GFI ---------- ---------- 0 . 07 8 0 . 8 7 8 0 . 0 00 1 . 000 0 . 3 62 0 . 4 0 1 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 8 4 3 0 . 7 8 2 1 . 0 00 0 . 0 0 0 0 . 000 PRATIO PNFI ---------- ---------- 0 . 7 22 0 . 60 9 0 . 0 00 0 . 0 00 1 . 0 00 0 . 0 00 NCP LO 90 ---------- ---------- 97 . 0 6 3 6 6 . 2 4 6 0 . 0 0 0 0 . 000 7 4 6 . 07 1 658 . 8 0 6 FMIN FO ---------- ---------- 0 . 62 8 0 . 4 9 5 0 . 0 00 0 . 000 3 . 9 90 3 . 8 0 6 P CMIN/DF --------- --------- 0 . 000 4 . 7 33 0 . 0 0 0 2 1 . 7 2 4 AGFI PGFI ---------- ---------- 0 . 7 8 8 0 . 507 0 . 2 5 1 0 . 3 2 1 DELTA2 RH02 I FI TLI ---------- ---------- 0 . 8 7 2 0 . 82 0 1 . 0 0 0 0 . 0 00 0 . 0 00 PCFI ---------- 0 . 6 2 8 0 . 0 0 0 0 . 0 0 0 H I 9 0 ---------- 1 35 . 4 1 9 0 . 0 00 8 4 0 . 7 5 1 LO 90 HI 90 ---------- ---------- 0 . 33 8 0 . 69 1 0 . 0 0 0 0 . 0 00 3 . 3 6 1 4 . 2 90 Model RMSEA LO 90 HI 9 0 PCLOSE Default model 0 . 1 3 8 0 . 1 1 4 0 . 1 63 0 . 0 00 Independence model 0 . 32 5 0 . 30 6 0 . 3 4 5 0 . 000 27 1 CFI -------- 0 . 8 7 0 1 . 0 0 0 0 . 0 00 Model ATC BCC ---------------� ---------- ---------- Default model 161 . 0 6 3 1 6 3 . 1 0 6 Saturated model. 90 . 0 0 0 94 . 8 3 9 Independence model 800 . 07 1 801 . 039 Model ECVI LO 90 ---------------- ---------- ---------- Default Saturated Independence model model model 0 . 8 2 2 f 0 . 665 0 . 4 5 9 0 . 4 5 9 4 . 0 8 2 3 . 637 HOELTER HOELTER Model . 0 5 . 0 1 Default model 62 7 3 I ndependence model 1 3 1 5 Appendices BIC CAIC ---------- ---------- 2 65 . 191 2 4 2 . 4 4 4 3 3 6 . 619 2 82 . 7 4 4 8 4 9 . 395 8 3 8 . 620 HI 90 MECVI ---------- ---------- 1 . 017 0 . 8 32 0 . 4 5 9 0 . 4 8 4 4 . 5 65 4 . 0 8 7 Appendix ISb: Fit indices for workplace friendship scale with items 3 , 5 , 6, 9 and 1 0 removed (Random 2) Summary of models Model ---------------- Default model Saturated model I ndependence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR 15 2 8 7 CMIN 32 . 7 68 0 . 000 5 1 8 . 0 1 6 RMR OF 1 3 0 2 1 GFI ---------- ---------- 0 . 0 5 5 0 . 0 00 0 . 3 7 1 DELTAl NFI ---------- 0 . 937 1 . 0 00 0 . 0 00 0 . 955 1 . 0 00 0 . 4 6 9 RHOl RFI ---------- 0 . 8 98 0 . 0 00 272 P CMIN/DF --------- --------- 0 . 002 2 . 52 1 0 . 0 0 0 2 4 . 6 67 AGFI PGFI ---------- ---------- 0 . 902 0 . 4 4 3 0 . 2 9 2 0 . 3 52 DELTA2 RH02 I FI TLI CFI ---------- ---------- -------- 0 . 9 6 1 0 . 93 6 0 . 9 6 0 1 . 00 0 1 . 0 0 0 0 . 0 00 0 . 00 0 0 . 0 00 Model --- --- --- --- --- - Defaul t model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model --------- ------- Default model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model S"aturated model Independence model PRATIO PNFI ---------- ---------- 0 . 61 9 0 . 5 80 0 . 000 0 . 0 00 1 . 000 0 . 0 00 NCP LO 90 ---------- ---------- 1 9 . 7 68 6 . 602 0 . 000 0 . 000 4 97 . 016 4 2 6 . 572 FMIN FO ---------- ---------- 0 . 1 67 0 . 1 0 1 0 . 000 0 . 000 2 . 64 3 2 . 53 6 RMSEA LO 90 ---------- ---------- 0 . 088 0 . 0 51 0 . 347 0 . 322 AIC BCC ---------- ---------- 62 . 7 68 64 . 0 4 5 5 6 . 000 58 . 3 83 532 . 0 1 6 532 . 6 1 1 ECVI LO 90 ---------- ---------- 0 . 320 0 . 2 53 0 . 2 8 6 0 . 2 8 6 2 . 7 14 2 . 3 55 HOELTER HOELTER Model . 05 . 0 1 Default model 134 1 6 6 Independence model 13 1 5 273 Appendices PCFI ---------- 0 . 5 9 4 0 . 0 00 0 . 0 00 HI 90 ---------- 4 0 . 603 0 . 000 5 7 4 . 8 7 8 LO 90 HI 90 ---------- ---------- 0 . 03 4 0 . 207 0 . 0 00 0 . 0 00 2 . 17 6 2 . 933 HI 90 PCLOSE ---------- ---------- 0 . 1 2 6 0 . 0 4 7 0 . 37 4 0 . 0 00 BIC CAIC ---------- ---------- 1 4 1 . 205 1 2 7 . 0 1 6 2 0 2 . 4 1 5 1 7 5 . 930 5 6 8 . 619 5 6 1 . 998 HI 90 MECVI ---------- ---------- 0 . 427 0 . 327 0 . 2 8 6 0 . 2 98 3 . 1 12 2 . 7 1 7 Appendices Appendix 18c: Fit indices for workplace friendship scale with items 3, 5, 6, 9 and 10 removed (Whole Sample) Summary of models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model I ndependence model NPAR CMIN DF 15 28 7 3 9 . 3 97 0 . 0 0 0 1 03 7 . 0 6 2 1 3 0 2 1 RMR GFI ---------- ---------- 0 . 04 6 0 . 9 7 5 0 . 000 1 . 000 0 . 367 0 . 4 8 9 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 962 0 . 93 9 1 . 0 0 0 0 . 000 0 . 0 00 PRATIO PNFI ---------- ---------- 0 . 619 0 . 5 96 0 . 0 00 0 . 0 00 1 . 000 0 . 0 00 NCP LO 90 ---------- ---------- 2 6 . 397 1 1 . 2 0 9 0 . 0 00 0 . 0 00 10 1 6 . 062 9 1 4 . 3 1 7 FMIN FO -- -- -- -- -- ---------- 0 . 0 9 6 0 . 0 6 4 0 . 000 0 . 00 0 2 . 523 2 . 4 7 2 Model RMSEA LO 90 Default model 0 . 0 7 0 0 . 0 4 6 Independence model 0 . 34 3 0 . 325 274 P CMIN/DF --------- --------- 0 . 000 3 . 03 1 0 . 000 4 9 . 3 8 4 AGFI PGFI ---------- ---------- 0 . 9 4 6 0 . 4 5 3 0 . 3 1 9 0 . 367 DELTA2 RH02 I FI TLI ---------- ---------- 0 . 97 4 0 . 958 1 . 000 0 . 0 00 0 . 0 00 PCFI ---------- 0 . 603 0 . 000 0 . 000 HI 90 ---------- 4 9 . 2 02 0 . 000 1 1 2 5 . 1 9 8 LO 90 HI 90 ---------- ---------- 0 . 027 0 . 1 2 0 0 . 0 00 0 . 0 00 2 . 2 25 2 . 7 3 8 HI 9 0 PCLOSE 0 . 0 96 0 . 0 83 0 . 3 6 1 0 . 0 00 CFI -------- 0 . 97 4 1 . 00 0 0 . 0 00 Model AIC BCC ---------------- ---------- ---------- Default model 69 . 397 6 9 . 9 92 Saturated model 5 6 . 000 5 7 . 1 1 2 Independence model 1 051 . 0 62 1 0 5 1 . 3 4 0 Model ECVI LO 90 ---------------- ---------- -----�---- Default Saturated Independence model model model 0 . 1 6 9 0 . 1 3 2 0 . 1 3 6 0 . 1 3 6 2 . 557 2 . 3 1 0 HOELTER HOELTER Model . 0 5 . 0 1 Default model 234 2 8 9 Independence model 13 1 6 Appendices BIC CAIC ---------- ---------- 1 5 8 . 9 0 1 1 4 4 . 7 1 2 2 23 . 07 4 1 9 6 . 5 8 9 1 0 92 . 8 30 1 0 8 6 . 2 0 9 HI 90 MECVI ---------- ---------- 0 . 22 4 0 . 1 7 0 0 . 1 3 6 0 . 1 3 9 2 . 8 23 2 . 5 5 8 Appendix 18d: Fit Indices for the Job Satisfaction scale with 4 , 7 , 9, 1 1, 12 and 1 5 removed (Random 2) Summary of models Model ---------------- Default model Saturated mode l Independence mode l Model ---------------- Default mode l S aturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR CMIN DF 19 45 9 7 6 . 1 0 1 0 . 0 00 5 92 . 7 3 9 2 6 0 3 6 RMR GFI ---------- ---------- 0 . 173 0 . 9 1 9 0 . 0 00 1 . 0 0 0 0 . 94 8 0 . 4 6 9 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 8 72 0 . 8 2 2 1 . 0 0 0 0 . 000 0 . 0 0 0 PRATIO PNFI ---------- ---------- 0 . 722 0 . 62 9 0 . 000 0 . 0 00 1 . 000 0 . 0 0 0 275 P CMIN/DF --------- --------- 0 . 000 2 . 92 7 0 . 0 00 1 6 . 4 65 AGFI PGFI ---------- ---------- 0 . 8 5 9 0 . 5 3 1 0 . 33 7 0 . 37 5 DELTA2 RH02 IFI TLI CFI ---------- ---------- -------- 0 . 9 1 2 0 . 8 7 5 0 . 91 0 1 . 0 00 1 . 0 0 0 0 . 0 00 0 . 0 00 0 . 00 0 PCFI ---------- 0 . 657 0 . 000 0 . 000 Appendices Model NCP .10 90 H I 9 0 ---------------- ---------- ---------- ---------- Default model 50 . 1 0 1 2 7 . 694 8 0 . 1 4 2 Saturated model 0 . 0 00 0 . 0 00 0 . 00 0 Independence model 556 . 7 3 9 4 8 1 . 5 4 8 639 . 3 6 0 , Model FMIN FO LO 9 0 H I 9 0 ---------------- ---------- ---------- ---------- -- -- -- -- -- Default model 0 . 3 8 8 0 . 2 5 6 0 . 1 4 1 0 . 4 0 9 Saturated model 0 . 00 0 0 . 000 0 . 0 0 0 0 . 0 00 Independence model 3 . 02 4 2 . 8 4 1 2 . 4 5 7 3 . 2 62 Model RMSEA LO 90 HI 90 PCLOSE Default model 0 . 0 99 0 . 07 4 0 . 1 2 5 0 . 00 1 I ndependence model 0 . 2 8 1 0 . 2 6 1 0 . 3 0 1 0 . 00 0 Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model AIC BCC ---------- ---------- 1 1 4 . 1 0 1 1 1 6 . 1 4 4 90 . 0 0 0 94 . 8 3 9 6 1 0 . 7 3 9 611 . 7 0 6 ECVI LO 90 ---------- ---------- 0 . 582 0 . 4 68 0 . 4 5 9 0 . 4 5 9 3 . 1 1 6 2 . 732 HOELTER HOELTER Model . 05 . 01 Default model 1 0 1 1 1 8 I ndependence model 1 7 20 B I C CAI C ---------- ---------- 2 18 . 2 2 9 1 9 5 . 4 8 2 33 6 . 6 1 9 2 8 2 . 7 4 4 6 60 . 0 6 2 64 9 . 2 8 7 HI 90 MECVI ---------- ---------- 0 . 7 3 5 0 . 5 9 3 0 . 4 5 9 0 . 4 8 4 3 . 5 3 8 3 . 1 2 1 Appendix 18e: Fit Indices for the Job Satisfaction scale with 2, 4, 7, 9, 11 , 12 and 15 removed (Random 2) Summary of models Model NPAR Default model Saturated model Independence model 17 36 8 CMIN 4 5 . 830 0 . 000 4 7 4 . 4 90 276 OF P CMIN/DF --------- --------- 1 9 0 . 0 0 1 2 . 4 12 0 2 8 0 . 000 1 6 . 9 4 6 Appendices Model RMR GFI AGFI PGFI ---------------- ---------- ---------- ---------- ---------- Default model 0 . 1 5 6 0 . 9 47 0 . 900 0 . 5 00 Saturated model 0 . 0 00 1 . 000 Independence model 0 . 9 32 0 . 523 0 . 3 8 6 0 . 4 0 7 DELTA1 RHOl DELTA2 RH02 Model NFI RFI I FI TLI CFI ---------------- ---------- ---------- ---------- ---------- -------- Default model 0 . 903 0 . 8 5 8 0 . 9 4 1 0 . 9 1 1 0 . 9 4 0 Saturated model 1 . 000 1 . 0 0 0 1 . 0 0 0 Independence model 0 . 000 0 . 000 0 . 0 00 0 . 0 0 0 0 . 0 0 0 Model PRATIO PNFI PCFI ---------------- ---------- ---------- ---------- Default model 0 . 67 9 0 . 6 13 0 . 63 8 Saturated model 0 . 000 0 . 000 0 . 0 0 0 Independence model 1 . 000 0 . 000 0 . 0 0 0 Model NCP LO 90 HI 90 ---------------- ---------- ---------- ---------- Default model 2 6 . 8 30 1 0 . 7 2 9 5 0 . 6 2 1 Saturated model 0 . 0 00 0 . 000 0 . 0 00 Independence model 4 4 6 . 490 37 9 . 5 70 5 20 . 8 4 3 Model E11IN FO LO 90 HI 90 ---------------- ---------- ---------- ---------- ---------- Default model 0 . 2 34 0 . 137 0 . 0 5 5 0 . 2 5 8 Saturated model 0 . 000 0 . 000 0 . 0 0 0 0 . 0 00 Independence model 2 . 4 21 2 . 27 8 1 . 937 2 . 657 Model RMSEA LO 90 HI 90 PCLOSE Default model 0 . 0 85 0 . 054 0 . 1 1 7 0 . 0 3 5 Independence model 0 . 2 85 0 . 2 63 0 . 3 08 0 . 0 00 Model AIC BCC BIC CAIC ---------------- - --------- ---------- ---------- ---------- Default model 7 9 . 8 30 8 1 . 4 6 6 1 7 0 . 9 95 1 52 . 64 4 Saturated model 7 2 . 0 00 7 5 . 4 65 2 6 5 . 0 5 5 2 2 6 . 1 9 5 Independence model 4 9 0 . 490 4 9 1 . 2 60 5 3 3 . 3 9 1 5 2 4 . 7 5 6 Model ECVI LO 90 HI 90 MECVI ---------------- ---------- ---------- ---------- ---------- Default model 0 . 4 07 0 . 325 0 . 52 9 0 . 4 1 6 Saturated model 0 . 3 67 0 . 367 0 . 3 6 7 0 . 3 8 5 Independence model 2 . 5 03 2 . 1 61 2 . 8 8 2 2 . 50 6 277 Model Default model Independence model HOELTER HOELTER . 05 . 0 1 1 2 9 155 18 2 0 AppenOlces Appendix 18f: Fit Indices for the Job Satisfaction scale with 2, 4, 7, 9, 1 1 , 12 and 15 removed (Whole sample) Summary of models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR CMIN OF 17 36 8 4 8 . 4 1 9 0 . 000 8 7 1 . 1 2 6 1 9 0 2 8 RMR GFI ---------- ---------- 0 . 1 1 0 0 . 97 1 0 . 000 1 . 0 00 0 . 827 0 . 558 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 9 4 4 0 . 91 8 1 . 0 0 0 0 . 000 0 . 0 00 PRATIO PNFI ---------- ---------- 0 . 67 9 0 . 64 1 0 . 0 00 0 . 000 1 . 0 0 0 0 . 000 NCP LO 90 ---------- ---------- 2 9 . 4 1 9 1 2 . 6 1 8 0 . 000 0 . 0 00 8 4 3 . 12 6 7 50 . 4 7 5 FMIN FO ---------- ---------- 0 . 1 1 8 0 . 07 2 0 . 000 0 . 00 0 2 . 1 2 0 2 . 05 1 278 P CMIN/DF --------- --------- 0 . 000 2 . 54 8 0 . 0 00 31 . 1 1 2 AGFI PGFI ---------- ---------- 0 . 9 45 0 . 5 1 3 0 . 431 0 . 4 3 4 DELTA2 RH02 IFI TLI CFI ---------- ---------- - ------- 0 . 9 65 0 . 9 4 9 0 . 9 65 1 . 000 1 . 0 00 0 . 000 0 . 0 00 0 . 000 PCFI ---------- 0 . 655 0 . 000 0 . 000 HI 90 ---------- 53 . 8 93 0 . 000 943 . 179 LO 90 H I 90 ---------- ---------- 0 . 031 0 . 1 3 1 0 . 000 0 . 0 00 1 . 82 6 2 . 2 95 Model Default model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model RMSEA LO 90 0 . 0 61 0 . 0 4 0 0 . 2 7 1 0 . 2 55 AIC BCC ---------- ---------- 8 2 . 4 1 9 8 3 . 1 8 0 7 2 . 000 7 3 . 6 12 8 8 7 . 1 2 6 8 8 7 . 4 85 ECVI LO 90 ---------- ---------- 0 . 2 0 1 0 . 1 60 0 . 17 5 0 . 17 5 2 . 15 8 1 . 933 HOELTER HOELTER Model . 0 5 . 0 1 Default model 2 5 6 3 08 Independence model 2 0 2 3 H I 9 0 0 . 0 8 3 0 . 2 8 6 SIC ---------- 1 8 6 . 1 2 7 2 9 1 . 6 1 7 935 . 930 HI 9 0 ---------- 0 . 2 60 0 . 1 7 5 2 . 4 0 2 PCLOSE 0 . 1 7 5 0 . 0 00 CAIC ---------- 1 67 . 7 7 6 2 52 . 7 57 927 . 2 9 4 MECVI ---------- 0 . 2 02 0 . 1 7 9 2 . 1 5 9 AppenOlces Appendix 18g: Fit indices for Organisational Commitment Questionnaire with all 15 items (Random 1) Summary o f models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR 30 1 2 0 1 5 CMIN 2 3 1 . 6 8 8 0 . 0 00 1 64 3 . 1 63 RMR OF 90 0 1 0 5 GFI ---------- ---------- 0 . 1 3 6 0 . 872 0 . 0 00 1 . 0 00 1 . 1 12 0 . 2 60 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 8 5 9 0 . 8 35 1 . 0 00 0 . 0 0 0 0 . 000 279 P CMIN/DF --------- --------- 0 . 000 2 . 5 7 4 0 . 0 0 0 1 5 . 64 9 AGFI PGFI ---------- ---------- 0 . 8 2 9 0 . 6 5 4 0 . 1 5 4 0 . 2 2 7 DELTA2 RH02 I FI TLI CFI ---------- ---------- -------- 0 . 90 9 0 . 8 9 3 0 . 90 8 1 . 0 0 0 1 . 00 0 0 . 00 0 0 . 00 0 0 . 00 0 Model PRATIO PNFI PCFI ---------------- ---------- ---------- ---------- Default model � . 8 5 7 0 . 7 3 6 0 . 7 7 8 Saturated model 0 . 0 00 0 . 000 0 . 000 Independence model 1 . 000 0 . 0 00 0 . 000 Model NCP LO 90 HI 90 ---------------- ---------- - - -------- -- -- -- -- -- Default model 14 1 . 6 88 1 0 0 . 52 6 1 90 . 52 9 Saturated model 0 . 0 00 0 . 0 00 0 . 000 Independence model 1 538 . 1 63 1 4 1 0 . 6 09 1 67 3 . 107 Model FMIN FO La 90 H I 9 0 ---------------- ---------- ---------- ---------- ---------- Default model 1 . 0 8 3 0 . 6 62 0 . 4 7 0 0 . 8 9 0 Saturated model 0 . 000 0 . 0 00 0 . 0 00 0 . 000 Independence model 7 . 67 8 7 . 1 8 8 6 . 592 7 . 8 1 8 Model RMSEA LO 90 H I 9 0 PCLOSE Default model 0 . 0 8 6 0 . 07 2 0 . 099 0 . 000 Independence model 0 . 262 0 . 2 5 1 0 . 2 73 0 . 000 Model ---------------- Default model Saturated model Independence model Model ---------------- Default model ' Saturated model Independence model AIC BCC ---------- ---------- 291 . 6 88 2 9 6 . 5 3 6 2 4 0 . 000 2 5 9 . 3 9 4 1 673 . 1 63 1 6 7 5 . 5 8 7 ECVI La 90 -- -- -- -- -- ---------- 1 . 363 1 . 17 1 1 . 12 1 1 . 12 1 7 . 8 1 9 7 . 2 22 HOELTER HOELTER Model . 0 5 . 0 1 Default model 1 0 5 1 1 5 Independence model 1 7 1 9 280 BIC CAIC ---------- ---------- 4 7 4 . 0 4 9 4 22 . 807 9 69 . 4 4 3 7 6 4 . 4 7 7 1 7 64 . 3 43 1 73 8 . 722 HI 90 MECVI ---------- -- -------- 1 . 5 9 1 1 . 3 8 6 1 . 1 2 1 1 . 2 1 2 8 . 4 4 9 7 . 8 30 Appendices Appendices Appendix ISh: Fit indices for Organiiational Commitment Questionnaire with items 2, 10 and 1 1 deleted (Random 1) Summary of models ----------------- Model NPAR CMIN OF P CMIN/DF ---------------- --------- --------- --------- Default mode l 2 4 104 . 654 54 0 . 0 00 1 . 9 3 8 Saturated mode l 7 8 0 . 0 00 0 Independence model 12 1 1 4 0 . 653 66 0 . 0 00 1 7 . 2 8 3 Model RMR GFI AGFI PGFI ---------------- ---------- ---------- ---------- ---------- Default model 0 . 1 1 7 0 . 9 1 8 0 . 8 8 1 0 . 6 3 5 Saturated model 0 . 000 1 . 0 0 0 Independence model 1 . 0 6 9 0 . 3 1 8 0 . 1 9 4 0 . 2 6 9 DELTA1 RH01 DELTA2 RH02 Model NFI RFI I FI TLI CFI ---------------- ---------- ---------- ---------- ---------- -------- Default model 0 . 908 0 . 8 8 8 0 . 953 0 . 9 4 2 0 . 953 Saturated model 1 . 000 1 . 0 00 1 . 0 00 Independence model 0 . 00.0 0 . 0 00 0 . 0 00 0 . 0 0 0 0 . 0 0 0 Model PRATIO PNFI PCFI ---------------- ---------- ---------- ---------- Default model 0 , 8 1 8 0 . 7 4 3 0 . 7 8 0 Saturated model 0 . 000 0 . 00 0 0 . 000 Independence model 1 . 000 0 . 0 0 0 0 . 0 00 Model NCP LO 9 0 H I 9 0 ---------------- ---------- ---------- ---------- Default model 50 . 654 2 5 . 4 8 8 8 3 . 61 7 Saturated model 0 . 000 0 . 00 0 0 . 000 Independence model 1 07 4 . 653 9 6 8 . 8 3 2 1 1 8 7 . 8 8 4 Model FMIN FO LO 90 HI 9 0 ---------------- ---------- ---------- ---------- ---------- Default model 0 . 4 8 9 0 . 2 3 7 0 . 1 1 9 0 . 3 9 1 Saturated model 0 . 0 00 0 . 0 0 0 0 . 0 00 0 . 00 0 Inc;:l.ependence model 5 . 3 30 5 . 02 2 4 . 52 7 5 . 5 5 1 Model RMSEA LO 9 0 H I 9 0 PCLOSE Default model 0 . 0 66 0 . 0 4 7 0 . 0 85 0 . 0 8 0 Independence model 0 . 2 7 6 0 . 2 62 0 . 2 9 0 0 . 0 0 0 28 1 Model AIC BCC ---------------- ---------- ---------- Default model 152 . 6 5 4 155 . 7 58 Saturated model 156 . 0 0 0 1 6 6 . 0 9 0 Independence model 1 1 6 4 . 65 3 1 1 66 . 2 0 6 Model ECVI LO 90 ---------------- ---------- ---------- Default Saturated Independence model model model 0 . 7 1 3 0 . 5 9 6 0 . 7 2 9 0 . 7 2 9 5 . 4 4 2 4 . 9 4 8 HOELTER HOELTER Model . 0 5 . 0 1 Default model 1 4 8 1 6 6 Independence model 1 7 1 8 Appendices BIC CAIC ---------- ---------- .2 9 3 . 1 8 7 257 . 5 4 9 6 12 . 7 3 2 4 9 6 . 9 1 0 1234 . 92 0 1 2 17 . 1 0 1 HI 90 MECVI ---------- ---------- 0 . 8 67 0 . 7 2 8 0 . 7 2 9 0 . 7 7 6 5 . 97 1 5 . 4 50 Appendix 18i: Fit indices for Organisational Commitment Questionnaire with items 2, 10 and 11 deleted (Whole sample) Summary of mode ls Model NPAR CMIN DF Default model Saturated model Independence model Model ---------------- Default model Saturated model I ndependence model Model ---------------- Default model Saturated model I ndependence model Model ---------------- De fault model Saturated model Independence model 24 78 12 1 3 6 . 757 0 . 0 00 2 53 1 . 7 72 5 4 0 66 RMR GFI ------ ---- ---------- 0 . 1 0 1 0 . 9 4 6 0 . 0 0 0 1 . 0 00 1 . 3 0 8 0 . 2 7 9 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 9 4 6 0 . 93 4 1 . 0 0 0 0 . 0 0 0 0 . 0 00 PRATIO PNFI ---------- ---------- 0 . 8 1 8 0 . 7 7 4 0 . 0 00 0 . 000 1 . 000 0 . 000 282 P CMIN/DF --------- --------- 0 . 00 0 2 . 5 33 0 . 0 0 0 38 . 3 60 AGFI PGFI ---------- ---------- 0 . 92 2 0 . 655 0 . 1 4 8 0 . 2 3 6 DELTA2 RH02 IFI TLI CFI ---------- ---------- -------- 0 . 9 67 0 . 9 59 0 . 9 6 6 1 . 0 0 0 1 . 0 00 0 . 0 0 0 0 . 0 0 0 0 . 0 0 0 PCFI ---------- 0 . 7 91 0 . 0 0 0 0 . 0 0 0 , Model NCP 10 90 HI 90 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Default model 8 2 . 757 52 . 0 66 1 2 1 . 132 Saturated model 0 . 0 00 0 . 0 00 0 . 0 00 Independence model 2 4 6 5 . 7 72 2 30 4 . 938 2 633 . 94 0 Model FMIN FO LO 90 HI 9 0 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Default model 0 . 3 33 0 . 2 0 1 0 . 1 2 7 0 . 2 9 5 Saturated model 0 . 000 0 . 00 0 0 . 000 0 . 0 00 Independence model 6 . 1 60 5 . 9 99 5 . 608 6 . 4 0 9 Model RMSEA LO 9 0 H I 9 0 PCLOSE Default model 0 . 061 0 . 0 4 8 0 . 0 7 4 0 . 07 3 Independence model 0 . 3 01 0 . 2 9 1 0 . 3 12 0 . 0 0 0 Model AIC BCC - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Default model 1 8 4 . 7 57 1 8 6 . 325 Saturated model 1 5 6 . 000 1 6 1 . 095 Independence model 2 5 5 5 . 772 2 5 56 . 555 Model ECVI LO 90 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Default Saturated Independence model model model 0 . 450 0 . 3 7 5 0 . 3 80 0 . 3 8 0 6 . 218 5 . 827 HOELTER HOELTER Model . 05 . 01 Default model 217 2 4 4 Independence model 14 1 6 BIC CAIC - - - - - - - - - - - - - - - - - - - - 3 4 0 . 8 9 9 305 . 2 6 2 6 63 . 4 63 5 4 7 . 6 4 0 2 633 . 8 4 3 2 6 1 6 . 0 2 4 HI 90 MECVI - - - - - - - - - - - - - - - - - - - - 0 . 5 43 0 . 4 5 3 0 . 380 0 . 3 9 2 6 . 62 8 6 . 22 0 Appendices Appendix 18j : Fit indices for the cohesion scale with all 9 items (Random 1) Summary of models Model - - - - - - - - - - - - - - - - Default model Saturated model Independence model NPAR 1 9 4 5 9 CMIN 8 8 . 327 0 . 000 7 2 6 . 6 4 3 283 OF P CMIN/OF - - - - - - - - - - - - - - - - - - 26 0 . 0 00 3 . 3 9 7 0 3 6 0 . 0 00 2 0 . 1 8 5 Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model Default model Independence model Model ---------------- Default model Saturated model Independence model Model -- - -- -- - -- -- -- -- Default model Saturated model Independence model , RMR ---------- 0 . 057 0 . 000 0 . 2 8 8 DELTA1 NFI ---------- 0 . 8 7 8 1 . 000 0 . 000 PRATIO ---------- 0 . 7 22 0 . 000 1 . 000 NCP ---------- 62 . 327 0 . 0 00 690 . 6 43 FMIN ---------- 0 . 4 1 3 0 . 0 00 3 . 3 96 RMSEA 0 . 1 0 6 0 . 2 99 AIC ---------- 12 6 . 327 90 . 0 00 7 4 4 . 64 3 ECVI ---------- 0 . 5 9 0 0 . 4 2 1 3 . 4 8 0 GFI ---------- 0 . 9 10 1 . 0 00 0 . 4 4 9 RH01 RFI ---------- 0 . 832 0 . 0 00 PNFI ---------- 0 . 63 4 0 . 0 00 0 . 000 LO 90 ---------- 37 . 4 8 9 0 . 0 00 60 6 . 7 3 8 FO ---------- 0 . 2 9 1 0 . 0 00 3 . 22 7 LO 9 0 0 . 0 82 0 . 2 8 1 BCC ---------- 1 2 8 . 1 90 94 . 4 1 2 7 4 5 . 5 25 LO 90 ---------- 0 . 4 7 4 0 . 4 2 1 3 . 0 8 8 284 AGFI - --------- 0 . 8 4 4 0 . 3 12 DELTA2 I FI ---------- 0 . 9 1 1 1 . 0 00 0 . 000 PCFI - --------- 0 . 657 0 . 0 00 0 . 000 HI 90 ---------- 94 . 7 6 4 0 . 000 7 8 1 . 965 LO 90 ---------- 0 . 1 7 5 0 . 000 2 . 8 35 HI 9 0 0 . 1 3 1 0 . 3 1 9 BIC ---------- 232 . 1 1 6 3 40 . 5 5 4 7 9 4 . 753 HI 90 ---------- 0 . 7 4 2 0 . 4 2 1 3 . 9 0 6 Appendices PGFI ---------- 0 . 52 6 0 . 3 5 9 RH02 TLI ---------- 0 . 8 7 5 0 . 0 00 HI 90 ---------- 0 . 4 4 3 0 . 0 00 3 . 654 PCLOSE 0 . 0 00 0 . 0 00 CAIC ---------- 209 . 3 6 9 28 6 . 67 9 7 83 . 9 7 8 MECVI ---------- 0 . 5 99 0 . 4 4 1 3 . 4 8 4 CFI -------- 0 . 9 1 0 1 . 0 00 0 . 0 00 HOELTER HOELTER Model . 0 5 . 0 1 Default model 95 1 1 1 Independence model 1 6 1 8 Appendices Appendix 18k: Fit indices for cohesion scale with item 2 removed (Random 1) Summary o f models Model NPAR CMIN OF Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- De fault model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model 1 7 36 8 33 . 1 7 1 0 . 0 00 633 . 633 19 0 2 8 RMR GFI ---------- ---------- 0 . 0 37 0 . 9 59 0 . 000 1 : 0 00 0 . 3 04 0 . 4 5 6 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 9 4 8 0 . 923 1 . 0 00 0 . 000 0 . 000 PRATIO PNFI ---------- ---------- 0 . 67 9 0 . 6 4 3 0 . 000 0 . 000 1 . 000 0 . 0 00 NCP LO 90 ---------- ---------- 1 4 . 17 1 1 . 9 4 7 0 . 000 0 . 000 605 . 633 527 . 4 1 4 FMIN FO ---------- ---------- 0 . 155 0 . 0 6 6 0 . 000 0 . 000 2 . 9 6 1 2 . 8 30 285 P --------- 0 . 02 3 0 . 0 00 AGFI ---------- 0 . 923 0 . 3 0 1 DELTA2 I F! ---------- 0 . 97 7 1 . 0 00 0 . 0 00 PCFI ---------- 0 . 6 63 0 . 0 0 0 0 . 0 00 H I 9 0 ---------- 34 . 22 9 0 . 0 0 0 6 9 1 . 2 7 1 LO 9 0 ---------- 0 . 00 9 0 . 0 00 2 . 4 6 5 CMIN/DF --------- 1 . 7 4 6 22 . 630 PGFI ---------- 0 . 50 6 0 . 3 55 RH02 TLI CFI ---------- -------- 0 . 9 6 6 0 . 9 7 7 1 . 0 0 0 0 . 0 00 0 . 0 0 0 H I 9 0 ---------- 0 . 1 60 0 . 00 0 3 . 2 30 Model Default model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model RMSEA 0 . 0 59 0 . 318 AIC ---------- 67 . 1 7 1 7 2 . 000 64 9 . 633 ECVI ---------- 0 . 314 0 . 33 6 3 . 0 36 . LO 90 0 . 022 0 . 2 9 7 BCC ---------- 68 . 6 63 7 5 . 1 61 6 50 . 3 3 5 LO 90 ---------- 0 . 2 5 7 0 . 3 3 6 2 . 67 0 HOELTER HOELTER Model . 0 5 . 0 1 Default model 195 2 3 4 Independence model 14 1 7 HI 9 0 0 . 0 92 0 . 3 4 0 BIC ---------- 1 5 9 . 822 2 6 8 . 203 6 93 . 233 HI 90 ---------- 0 . 4 0 8 0 . 3 3 6 3 . 4 3 6 PCLOSE 0 . 2 99 0 . 000 CAIC ---------- 1 4 1 . 4 7 2 2 2 9 . 3 4 3 68 4 . 598 MECVI ---------- 0 . 32 1 0 . 3 51 3 . 0 3 9 Appendices Appendix 181: Fit indices for cohesion scale with item 2 removed (Whole Sample) Summary of models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR 1 7 3 6 8 CMIN 5 9 . 7 9 9 0 . 000 1 3 4 7 . 4 0 1 RMR OF 1 9 0 2 8 GFI ---------- ---------- 0 . 042 0 . 9 62 0 . 000 1 . 0 0 0 0 . 333 0 . 4 3 2 286 P CMIN/DF --------- --------- 0 . 000 3 . 1 4 7 0 . 000 4 8 . 12 1 AGFI PGFI ---------- ---------- 0 . 92 9 0 . 508 0 . 2 7 0 0 . 3 3 6 Model ---------------- Default model Saturated mode l Independence model . Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model I ndependence model DELTA1 RH01 NFI RFI ---------- ---------- 0 . 95 6 0 . 9 3 5 1 . 0 0 0 0 . 000 0 . 0 0 0 PRATIO PNFI ---------- ---------- 0 . 67 9 0 . 6 4 8 0 . 0 00 0 . 0 00 1 . 000 0 . 0 0 0 NCP LO 9 0 ---------- ---------- 4 0 . 7 9 9 2 1 . 1 7 1 0 . 000 0 . 00 0 13 1 9 . 4 0 1 1 202 . 92 5 FMIN FO ---------- ---------- 0 . 1 4 5 0 . 0 9 9 0 . 000 0 . 0 0 0 3 . 2 7 8 3 . 2 1 0 RMSEA LO 9 0 ---------- ---------- 0 . 072 0 . 0 5 2 0 . 339 0 . 3 2 3 AIC BCC ---------- ---------- 93 . 7 99 94 . 5 60 7 2 . 000 7 3 . 6 1 2 1 3 63 . 4 0 1 1 3 63 . 7 5 9 ECVI LO 9 0 -- -- -- -- -- ---------- 0 . 228 0 . 1 8 0 0 . 17 5 0 . 1 7 5 3 . 317 3 . 0 3 4 HOELTER HOELTER Model . 05 . 0 1 Default model 208 2 4 9 Independence model 13 1 5 287 Appendices DELTA2 RH02 IF! TLI CFI ---------- ------- --- -------- 0 . 969 0 . 954 0 . 9 6 9 1 . 000 1 . 0 0 0 0 . 000 0 . 0 0 0 0 . 0 00 PCFI ---------- 0 . 658 0 . 000 0 . 000 HI 90 ---------- 6 8 . 0 4 1 0 . 000 1 4 4 3 . 2 58 LO 90 HI 90 ---------- ---------- 0 . 0 52 0 . 1 6 6 0 . 0 00 0 . 0 00 2 . 92 7 3 . 5 1 2 H I 9 0 PCLOSE ---------- ---------- 0 . 0 9 3 0 . 0 3 6 0 . 3 5 4 0 . 00 0 BIC CAIC ---------- ---------- 1 9 7 . 507 17 9 . 1 5 7 2 9 1 . 6 1 7 2 52 . 7 57 1 4 1 2 . 2 0 5 1 4 03 . 5 6 9 HI 90 MECVI ---------- ---------- 0 . 2 9 5 0 . 2 3 0 0 . 1 7 5 0 . 17 9 3 . 6 1 9 3 . 3 1 8 Appendices Appendix I8m: Fit indices for the Needs Assessment Questionnaire (Random 2) Summary of models Model NPAR CMIN DF P CMIN/ DF ---------------- --------- --------- --------- Default model 3 4 1 4 1 . 690 7 1 0 . 0 00 1 . 9 9 6 Saturated model 105 0 . 000 0 Independence model 1 4 595 . 8 0 0 9 1 0 . 0 00 6 . 5 4 7 Model RMR GFI AGFI PGFI ---------------- ---------- ---------- ---------- ---------- Default model 0 . 0 4 7 0 . 9 1 1 0 . 8 6 9 0 . 6 1 6 Saturated model 0 . 0 0 0 1 . 000 Independence model 0 . 1 3 5 0 . 659 0 . 6 0 6 0 . 57 1 DELTA1 RH01 DELTA2 RH02 Model NFI RFI I FI TLI ---------------- ---------- ---------- ---------- ---------- Default model 0 . 7 62 0 . 6 95 0 . 8 6 5 0 . 8 2 1 Saturated model 1 . 000 1 . 000 Independence model 0 . 0 00 0 . 0 00 0 . 000 0 . 0 00 Model PRATIO PNFI PCFI ---------------- ---------- ---------- ---------- Default model 0 . 7 8 0 0 . 5 95 0 . 67 1 Saturated model 0 . 0 00 0 . 0 00 0 . 000 Independence model 1 . 0 0 0 0 . 0 00 0 . 000 Model NCP LO 90 HI 90 ---------------- ---------- ---------- ---------- Default model 7 0 . 6 90 4 0 . 618 1 0 8 . 5 4 7 Saturated model 0 . 0 0 0 0 . 000 0 . 000 Independence model 50 4 . 8 0 0 4 3 1 . 3 3 2 5 85 . 7 5 6 Model FMIN FO LO 90 HI 90 ---------------- ---------- ---------- ---------- ---------- Default model 0 . 72 3 0 . 3 6 1 0 . 2 07 0 . 5 5 4 Saturated model 0 . 00 0 0 . 0 00 0 . 0 00 0 . 0 0 0 Independence model 3 . 0 4 0 2 . 57 6 2 . 2 0 1 2 . 9 8 9 Model RMSEA LO 90 HI 90 PCLOSE Default model 0 . 07 1 0 . 0 54 0 . 0 8 8 0 . 0 2 3 Independence model 0 . 1 6 8 0 . 1 56 0 . 1 8 1 0 . 0 00 288 CFI -------- 0 . 8 60 1 . 000 0 . 0 00 Model AIC BCC ---------------- ---------- ---------- Default model 2 0 9 . 690 2 15 . 32 6 Saturated model 2 1 0 . 000 2 27 . 4 03 Independence model 623 . 8 00 626 . 1 2 1 Model ECVI LO 90 ---------------- ---------- ---------- Default Saturated Independence model model model 1 . 070 0 . 9 1 6 1 . 071 1 . 07 1 3 . 183 2 . 8 0 8 HOELTER HOELTER Model . 0 5 . 0 1 Default model 127 1 4 1 Independence model 38 42 Appendices BIC CAIC ---------- ---------- 4 1 1 . 0 4 7 355 . 3 1 9 8 3 1 . 837 6 59 . 7 3 6 7 0 6 . 7 l2 6 83 . 7 6 5 H I 9 0 MECVI - --------- ---------- 1 . 2 63 1 . 0 9 9 1 . 0 7 1 1 . 1 6 0 3 . 5 96 3 . 1 9 4 Appendix 1 8n: Fit indices for the Needs Assessment Questionnaire (Whole sample) Summary of models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model NPAR CMIN OF 3 4 1 05 1 4 2 l6 . 3 67 0 . 0 00 1203 . 5 35 7 l 0 91 RMR GFI ---------- ---------- 0 . 0 43 0 . 9 3 1 0 . 000 1 . 000 0 . 1 3 4 0 . 6 4 7 DELTA1 RH01 NFI RFI ---------- ---------- 0 . 820 0 . 7 7 0 1 . 000 0 . 000 0 . 0 00 PRATIO PNFI ---------- ---------- 0 . 7 8 0 0 . 64 0 0 . 000 0 . 00 0 1 . 000 0 . 00 0 NCP LO 90 289 P CMIN/DF --------- --------- 0 . 0 00 3 . 0 4 7 0 . 000 1 3 . 2 2 6 AGFI PGFI ---------- ---------- 0 . 8 98 0 . 6 30 0 . 593 0 . 5 6 1 DELTA2 RH02 I FI TLI CFI ---------- ---------- -------- 0 . 8 7 2 0 . 8 3 3 0 . 8 6 9 1 . 00 0 1 . 0 0 0 0 . 000 0 . 0 0 0 0 ; 0 0 0 PCFI - --------- 0 . 67 8 0 . 0 0 0 0 . 0 00 H I 90 ---------------- ---------- ---------- ---------.- Default model 1 4 5 . 367 10 4 . 8 8 4 1 9 3 . 4 7 9 Saturated model 0 . 00 0 0 . 000 0 . 0 00 Independence model 1 1 1 2 . 5 3 5 1 004 . 2 56 1 2 2 8 . 232 Model FMIN FO LO 90 ---------------- -- -- -- -- -- ---------- ---------- Default model 0 . 52 6 0 . 3 54 0 . 2 55 Saturated model 0 . 00 0 0 . 0 00 0 . 0 00 Independence model 2 . 92 8 2 . 707 2 . 4 4 3 Mode l RMSEA LO 9 0 H I 90 De fault model 0 . 0 7 1 0 . 0 60 0 . 0 8 1 Independence model 0 . 1 7 2 0 . 1 64 0 . 1 8 1 Model AIC BCC ---------------- ---------- ---------- Default model 2 8 4 . 367 2 8 6 . 9 4 3 Saturated model 2 1 0 . 0 00 217 . 955 Independence model 1 2 3 1 . 535 1 2 32 . 5 96 Model ECVI LO 90 ---------------- ---------- ---------- Default Saturated Independence model model model 0 . 692 0 . 593 0 . 51 1 0 . 51 1 2 . 9 9 6 2 . 7 33 HOELTER HOELTER Model . 0 5 . 0 1 Default model 1 75 1 9 4 Independence model 4 0 4 3 290 BIC ---------- 5 10 . 8 1 0 9 0 9 . 3 0 8 1 3 2 4 . 7 7 6 HI 90 ---------- 0 . 8 0 9 0 . 5 1 1 3 . 27 8 HI 9 0 ---------- 0 . 4 7 1 0 . 0 00 2 . 98 8 PCLOSE 0 . 0 0 1 0 . 000 CAIC ---------- 4 5 5 . 082 7 37 . 207 1 3 0 1 . 830 MECVI ---------- 0 . 698 0 . 530 2 . 9 9 9 Appendices Appendices .. Appendix 19: Regression weights for causal model: Internet Study Maximum Likelihood Estimates Regression Weights : Extrinsic JS < - cohesion workload sh Extrinsic JS < - cohesion_social supp Extrinsic JS < - - - - - - - - - - - - - - - - - - WFO Intrinsic JS < - - - - - - - - - Extrins ic JS OCQ < - - - - - - - - - - - - - - - - - - Extrinsic JS OCQ < - - - - - - - - - - - - - - - - - - Intrinsic JS WFP < - - - - - - - - - - - - - - - - - - - - - - - - - - - WFO ITL < - - - - - - - - - - - - - - - - - - - - - - - - - - - OCQ ITL < - - - - - - - - - - - - - - - - - - Intrins ic JS Standardized Regression Weights : Extrinsic JS < - cohes ion workload sh Extrinsic JS < - cohes ion_social supp Extrinsic JS < - - - - - - - - - - - - - - - - - - WFO Intrinsic JS <- - - - - - - - - Extrinsic JS OCQ < - - - - - - - - - - - - - - - - - - Extrinsic JS OCQ < - - - - - - - - - - - - - - - - - - Intrinsic JS WFP < - - - - - - - - - - - - - - - - - - - - - - - - - - - WFO ITL < - - - - - - - - - - - - - - - - - - - - - - - - - - - OCQ ITL <- - - - - - - - - - - - - - - - - - Intrinsic JS Covariances : cohesion social <> cohesion workloa WFO <- - - - - - > cohesion_social support WFO <- - - - - - > cohesion workload share Correlations : cohesion social <> cohesion workloa WFO < - - - - - - > cohesion_social support WFO < - - - - - - > cohesion workload share 29 1 Estimate -- ---- - - 0 . 331 0 . 735 0 . 58 9 0 . 503 0 . 5 8 8 0 . 4 7 2 0 . 969 - 0 . 5 55 -0 . 530 Est imate 0 . 2 4 0 0 . 4 1 7 0 . 2 52 0 . 57 2 0 . 520 0 . 3 67 0 . 5 5 9 -0 . 3 7 6 - 0 . 27 9 Estimate - - - - - - - - 0 . 4 52 0 . 2 15 0 . 1 0 6 Estimate 0 . 63 6 0 . 5 1 3 0 . 1 9 7 S . E . C . R . - - - - - - - -- --- - - 0 . 0 9 9 3 . 3 36 0 . 1 5 7 4 . 68 8 0 . 1 5 5 3 . 7 93 0 . 0 62 8 . 102 0 . 0 7 5 7 . 8 92 0 . 07 5 6 . 283 0 . 1 0 2 9 . 4 7 7 0 . 0 9 7 - 5 . 7 4 0 0 . 1 3 0 - 4 . 07 9 S . E . C . R . - --- - -- - - - - - -- 0 . 0 4 9 9 . 2 8 3 0 . 02 9 7 . 4 3 5 0 . 03 3 3 . 2 3 8 Appendix 20: Fit indices for causal model: Internet Study Summary of models Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model I ndependence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model NPAR CMIN DF --------- 8 4 1301 . 3 8 7 5 8 2 o 630 6 6 6 0 . 0 00 36 8014 . 6 14 RMR ---------- 0 . 1 38 0 . 0 00 0 . 7 7 0 DELTA1 NFI ---------- 0 . 8 3 8 1 . 0 00 0 . 0 00 PRATIO ---------- 0 . 924 0 . 0 00 1 . 0 00 NCP ---------- 7 1 9 . 3 8 7 0 . 0 00 7 3 8 4 . 61 4 FMIN - --------- 3 . 1 6 6 0 . 0 00 1 9 . 500 GFI ---------- 0 . 8 4 7 1 . 0 00 0 . 2 3 5 RHOl RFI ---------- 0 . 82 4 0 . 0 0 0 PNFI ---------- 0 . 7 7 4 0 . 0 00 0 . 00 0 LO 90 ---------- 618 . 6 4 1 0 . 0 00 7 0 9 9 . 1 8 7 FO ---------- 1 . 7 5 0 0 . 000 1 7 . 9 67 Model RMSEA LO 90 Default model 0 . 05 5 0 . 051 Independence model 0 . 1 6 9 0 . 1 6 6 292 P 0 . 0 00 0 . 000 AGFI ---------- 0 . 8 2 5 0 . 1 92 DELTA2 I FI ---------- 0 . 903 1 . 000 0 . 000 PCFI ---------- 0 . 8 3 4 0 . 0 00 0 . 000 H I 9 0 ---------- 827 . 8 4 4 0 . 0 00 7 67 6 . 4 9 4 LO 90 ---------- 1 . 505 0 . 000 1 7 . 273 H I 90 0 . 059 0 . 17 2 CMIN/DF 2 . 2 3 6 1 2 . 7 22 PGFI ---------- 0 . 7 4 0 0 . 2 23 RH02 TLI ---------- 0 . 8 9 5 0 . 000 HI 90 ---------- 2 . 0 1 4 0 . 0 00 1 8 . 6 7 8 PCLOSE 0 . 023 0 . 000 Appendices CFI -------- 0 . 9 03 1 . 0 0 0 0 . 0 0 0 Model AIC BCC ---------------- ---------- ---------- Default model 1 4 69 . 3 8 7 1 4 8 6 . 0 07 Saturated model 1 3 32 . 000 1 4 63 . 7 7 5 Independence model 8 0 8 6 . 6 1 4 8 0 93 . 7 37 Model ECVI LO 90 ---------------- ---------- ---------- Default Saturated Independence model model model 3 . 57 5 3 . 3 30 3 . 2 4 1 3 . 2 4 1 1 9 . 675 1 8 . 9 81 HOELTER HOELTER Model . 0 5 . 0 1 Defaul t model 2 02 2 1 0 Independence model 3 6 3 7 293 Appendices BIC CAIC ---------- ---------- 2 1 0 8 . 1 69 1 8 9 1 . 153 63 9 6 . 625 4 67 6 . 002 8 3 60 . 3 7 8 8 2 67 . 37 1 HI 90 MECVI ---------- ---------- 3 . 8 3 9 3 . 6 1 6 3 . 2 4 1 3 . 5 6 1 2 0 . 3 8 6 1 9 . 693 Model AIC BCC ---------------- ---------- ---------- Default model 1 610 . 2 3 6 1 62 6 . 3 35 Saturated model 1 4 0 6 . 000 1 537 . 5 9 6 Independence model ' 9059 . 8 68 9 0 6 6 . 7 9 4 Model ECVI LO 90 ---------------- ---------- ---------- Default Saturated Independence model model model 3-. 627 3 . 38 6 3 . 1 67 3 . 1 67 20 . 4 05 1 9 . 7 23 HOELTER HOELTER Model . 0 5 . 0 1 Default model 209 2 17 Independence model 3 6 3 8 295 Appendices BIC CAIC ---------- ---------- 2 27 3 . 2 10 20 4 8 . 6 7 1 6 8 25 . 4 22 4 9 8 9 . 94 6 93 4 5 . 1 0 1 9 2 4 8 . 4 97 HI 90 MECVI ---------- ----- ----- 3 . 8 8 4 3 . 6 63 3 . 1 67 3 . 4 63 2 1 . 102 2 0 . 4 2 1 Appendices Appendices for the Invariance Testing Study (Chapter 5) Appendix 2 1 : Fit indices for the causal model: Full data set (n=445) Summary of models Model ---------------- Default model Saturated model Independence model Model - --------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model Independence model Model ---------------- Default model Saturated model I ndependence model NPAR CMIN DF --------- 8 6 1 4 3 8 . 2 3 6 6 1 7 o 6 6 6 7 0 3 0 . 0 00 37 8 9 8 5 . 8 68 RMR GFI ---------- ---------- 0 . 1 3 1 0 . 8 4 8 0 . 000 1 . 0 00 0 . 7 90 0 . 2 2 4 DELTAl RHOl NFI RFI ---------- ---------- 0 . 8 4 0 0 . 8 2 7 1 . 000 0 . 0 00 0 . 0 0 0 PRATIO PNF I ---------- ---------- 0 . 92 6 0 . 7 7 8 0 . 0 00 0 . 0 0 0 1 . 0 0 0 0 . 0 0 0 NCP LO 9 0 - - - - - - - - - - ---------- 821 . 2 3 6 7 1 4 . 4 7 4 0 . 0 00 0 . 00 0 8 3 19 . 8 6 8 8 0 1 7 . 0 8 8 FMIN FO ---------- -- -- -- -- - - 3 . 2 3 9 1 . 8 5 0 0 . 00 0 0 . 0 0 0 2 0 ·. 2 3 8 1 8 . 7 3 8 P CMIN/DF 0 . 000 2 . 3 3 1 0 . 000 1 3 . 4 92 AGFI PGFI ---------- - - - - - - - - - - 0 . 8 2 6 0 . 7 4 4 0 . 1 8 1 0 . 2 1 2 DELTA2 RH02 IFI TLI ---------- ---------- 0 . 902 0 . 8 9 3 1 . 00 0 0 . 0 0 0 0 . 0 0 0 PCFI ---------- 0 . 8 3 5 0 . 0 00 0 . 0 0 0 H I 9 0 ---------- 9 35 . 687 0 . 0 0 0 8 62 9 . 0 9 1 LO 90 HI 9 0 ---------- ---------- 1 . 6 0 9 2 . 1 0 7 0 . 0 0 0 0 . 00 0 1 8 . 0 5 7 1 9 . 4 3 5 Model RMSEA LO 9 0 H I 9 0 PCLOSE Default model 0 . 0 5 5 0 . 0 5 1 0 . 05 8 0 . 0 1 7 Independence model 0 . 1 68 0 . 1 65 0 . 1 7 1 0 . 0 0 0 294 CFI -------- 0 . 9 0 1 1 . 00 0 0 . 00 0