Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item Cross-Cultural Adaptation and Application of the One-Parameter Item Response Model to the Santa Clara Brief Compassion Scale (SCBCS)(Springer Science+Business Media, LLC, part of Springer Nature, 2025-09-22) Adu P; Popoola T; Iqbal N; Roemer A; Collings S; Aspin C; Medvedev ON; Simpson CR; Medvedev ON; Krägeloh CUObjectives International research has consistently demonstrated the positive impact of compassion towards others on both physical and mental well-being, with significant implications for mindfulness practice. Based on this evidence, we aimed to adapt the Santa Clara Brief Compassion Scale (SCBCS) into German while simultaneously conducting a cross-cultural validation and enhancing its measurement precision using Rasch methodology across samples from Germany, Ghana, India, and New Zealand. Method We applied the unrestricted Partial Credit Model to analyze data from a randomly selected subsample of 500 participants, drawn from a total convenience sample of 1822 individuals recruited from the general populations of Germany, Ghana, India, and New Zealand. Results Our initial analysis of the SCBCS showed significant misfit to the Rasch model (χ2(30) = 58.48, p < 0.001), which was successfully addressed by testlet creation resulting in satisfactory model fit (χ2(24) = 24.80, p = 0.09). This included strict unidimensionality, strong reliability (Person Separation Index = 0.81), and invariance across personal factors, such as country, educational levels, sex, and age. We then developed an algorithm for transforming ordinal scores to interval-level data to enhance the accuracy of the SCBCS. The scale demonstrated sound divergent and convergent validity. Conclusions Our study has validated both the German and English versions of the SCBCS using Rasch methodology. The precision of measuring compassion towards others using the two versions of the SCBCS can be further enhanced by applying the ordinal-to-interval transformation tables developed in this paper.Item A cross-country network analysis of disease infodemics: Looking through the lens of the COVID-19 pandemic(Elsevier Ltd, 2025-02-27) Adu P; Popoola T; Iqbal N; Roemer A; Medvedev ON; Simpson CRInfodemics surrounding pandemics and epidemics have persisted for centuries and continue to impede efforts to promote high vaccination coverage. We explored the complex interplay between COVID-19 vaccination attitudes and COVID-19-related infodemics across Germany, Ghana, India, and New Zealand using the novel network analysis. We conducted an online cross-sectional survey and recruited 1822 participants from the general populations of India (n = 411), New Zealand (n = 413), Ghana (n = 523), and Germany (n = 413) to complete COVID-19 infodemic measures and demographics questions. Predictors of less favourable COVID-19 vaccination attitudes included the apocalypse-related infodemic in India, compared to all countries, as well as the not harmful belief of COVID-19 in New Zealand, compared to India and Germany, and in Ghana compared to India. COVID-19 origin-related infodemics were found to positively impact COVID-19 vaccination attitudes in Ghana and New Zealand only. The most influential infodemics in each of the countries studied-Ghana, New Zealand, Germany, and India-were the beliefs in bioweapons, 5G technology, apocalypse, and bat consumption, respectively. Across all countries, there were consistent strong positive connections between the infodemics. Our results suggest that country-specific infodemics significantly impact COVID-19 vaccination attitudes, with variations observed between nations. While the infodemics can reinforce each other and complicate public health efforts during pandemics, understanding the interactions between the central infodemic in each country and others can aid in developing more effective strategies to counter their influences. This highlights the importance of targeted public health interventions that address the unique dynamics of local infodemics during pandemics, epidemics, and Pathogen X outbreaks.Item Enhancing the Precision of the Self-Compassion Scale Short Form (SCS-SF) with Rasch Methodology(Springer Science+Business Media, LLC, part of Springer Nature, 2024-10-28) Adu P; Popoola T; Bartholomew E; Iqbal N; Roemer A; Jurcik T; Collings S; Aspin C; Medvedev ON; Simpson CRObjectives: Precise measurement of self-compassion is essential for informing well-being–related policies. Traditional assessment methods have led to inconsistencies in the factor structure of self-compassion scales. We used Rasch methodology to enhance measurement precision and assess the psychometric properties of the Self-Compassion Scale Short Form (SCS-SF), including its invariance across Ghana, Germany, India, and New Zealand. Method: We employed the Partial Credit Rasch model to analyse responses obtained from 1000 individuals randomly selected (i.e. 250 from each country) from a total convenience sample of 1822 recruited from the general populations of Germany, Ghana, India, and New Zealand. Results: The initial identification of local dependency among certain items led to a significant misfitting of the SCS-SF to the Rasch model (χ2 (108) = 260.26, p < 0.001). We addressed this issue by merging locally dependent items, using testlets. The solution with three testlets resulted in optimal fit of the SCS-SF to the Rasch model (χ2 (27) = 23.84, p = 0.64), showing evidence of unidimensionality, strong sample targeting (M = 0.20; SD = 0.72), and good reliability (Person Separation Index = 0.71), including invariance across sociodemographic factors. We then developed ordinal-to-interval conversion tables based on the Rasch model’s person estimates. The SCS-SF showed positive correlations with measures of compassion towards others, optimism, and positive affect, alongside negative associations with psychological distress and negative affect. Conclusions: The current study supports the reliability, as well as the structural, convergent, and external validity of the SCS-SF. By employing the ordinal-to-interval conversion tables published here, the precision of the measure is significantly enhanced, offering a robust tool for investigating self-compassion across different cultures.Item Validation and Cultural Adaptation of the Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) in German(Hogrefe, 2023-12-01) Adu P; Popoola T; Roemer A; Collings S; Aspin C; Medvedev ON; Simpson CRBackground: Context-specific standardized psychometric instruments are essential for ensuring valid and reliable assessment of health outcomes across diverse populations to aid the advancement of research and health-related interventions. However, instruments measuring attitudes toward vaccinations are lacking in the extant literature. Therefore, we performed a cross-cultural adaptation of the Motors of COVID-19 Vaccination Acceptance Scale (MoVac-COVID19S) in Germany. Method: During the months of June and July 2022, 475 individuals aged 18 years and older from the general population of Germany participated in an online cross-sectional survey. Participants responded to five demographic questions, a measure of COVID-19 vaccine uptake willingness, and the MoVac-COVID19S. Confirmatory Factor Analysis (CFA) fit indices were used to evaluate the factor structures of the MoVac-COVID19S. Results: The CFA revealed that all examined factor structures of both the 9-item and 12-item versions of the MoVac-COVID19S were acceptable among the sample. Overall, CFI, GFI, and TLI values were higher than 0.95; RMSEA and SRMR values were all less than 0.08 for all the estimated models. The one-factor model of the 9-item version of the MoVac-COVID19S exhibited best fits indices compared to the one-factor and four-factor structures of the 12-item version of the scale. The bifactor model revealed that the general factor explained a higher percentage of the Explained Common Variance (ECV; ranging from 55% to 94%) in the majority of the items, compared to the specific factors. The scale was found to demonstrate convergent validity with related measures. Conclusion: The German version of the MoVac-COVID19S should be considered a unidi-mensional rather than a multidimensional measure. Although the 9-item version of the scale performed better among the sample compared to the 12-item version, the overall scores of both versions were found to be valid and reliable measures of attitudes toward COVID-19 vaccinations. The MoVac-COVID19S has the potential to be adapted for assessing attitudes toward any future vaccination programs. Limitations: While our study sampled only the general German population, the criticisms of CFA warrant further research using advanced methods, such as the Rasch model, and subgroups.