|dc.description.abstract||Research into risk taking behaviour (RTB) reveals that depression and anxiety (in particular) are
associated with risk aversive behaviour, for many different types of risks, including gambling,
simulated risk taking tasks, and everyday risks. There has, however, been little research into the
relationship between cognitive factors associated with anxiety, and RTB. This is in spite of
research in this area finding that perceived risk had a stronger relationship with a cognitive
factor (worry) than with anxiety.
The present research is investigating the everyday RTB associated with depression, anxiety, and
cognitive factors associated with anxiety. Everyday risks are the type of risks being investigated
as these are decisions people make on a daily basis that involve risk that cannot easily be
avoided, and being overly avoidant of these risks can lead to negative consequences.
This research is split into two studies, with the first study split into two sections. The first part
of study one is the continued development of a measure of everyday RTB across multiple
domains. All existing measures of everyday RTB either do not measure RTB in different
domains, or have psychometric problems. Therefore, the development of a measure suitable for
use in this research project is required. The second part of the first study is investigating the
relationships of anxiety and depression level with everyday RTB, across multiple domains.
Study one used three samples, New Zealand community and tertiary student samples, and an
international internet sample. The second study is investigating the relationship between
cognitions associated with anxiety (e.g. worry and metaworry) and everyday RTB. This study
used two samples, a New Zealand tertiary student sample, and an international internet sample.
Results from the development of the everyday risk taking measure indicate that the measure that
underwent further development, the Everyday Risk Inventory – Expanded (ERI-E) is a reliable
measure of everyday RTB, for general community samples in particular. Cronbach’s alpha
values for the community sample were all above 0.7, but in some domains for the student
sample were just below 0.6. Confirmatory factor analysis showed the fit for both the multiple
domain and single domain models were moderate to good.
Results from the second part of study 1 showed that the relationships of anxiety and depression,
with everyday RTB were weak, with few significant results from either correlational or multiple
regression analysis. In particular, depression has a minimal impact on RTB. Sociodemographic
factors, particularly age, gender and income had more significant impacts on everyday RTB,
with people on lower income, and older people, being risk averse. Gender differences varied
between domains, with females significantly more risk averse for risks involving personal
danger and risks to others.
The concept that differences in people’s sense of power within their society affects RTB was
supported, as in general socio-demographic differences associated with increased power (e.g.
higher income and being male) led to people being less risk averse.
Results from study two showed that everyday RTB has a stronger association with cognitive
factors associated with anxiety than to anxiety level. In particular it has high correlations with
worry and intolerance of uncertainty (IU). Structural equation modelling found that a model
with cognitive factors leading to anxiety and differences in everyday RTB was an almost perfect
fit for the model, and anxiety had no direct effect on RTB. It was also found that the
relationship between everyday RTB and cognitive factors was stronger for high anxiety levels
than low anxiety levels. Further research is required to determine the reason why cognitive
factors associated with anxiety affect everyday RTB, rather than anxiety level.
The present research contributes to knowledge in this area by showing that cognitive factors
impact on RTB, rather than anxiety level. It also found that socio-demographic characteristics,
particularly age, were more important in explaining differences in RTB than was found in