Decision-making styles and mental health-A person-oriented approach through clustering

Previous research examining the associations between decision-making styles and mental health has neglected to look at the configurations of styles. The study identifies mutually exclusive groups of people according to their combination of the five decision-making styles and examines the differences between them in mental health-related variables in two studies. In Study 1, decision-making styles, mental health indicators (well-being, depression, stress) and socio-psychological protective factors (resilience, optimism, social support) were examined in university students in two rounds 1 year apart. A cluster analysis revealed three distinct decision profiles-independent/nonintuitive, avoidant/spontaneous and rational/nonavoidant. The best values of mental health-related variables were found in the rational/nonavoidant profile and the most negative values in the avoidant/spontaneous profile. The decision-making styles were stable after 1 year although they were not able to explain changes in mental health-related variables. Study 2 identified three similar clusters in a more general sample-spontaneous/irrational, dependent/avoidant and rational/nonavoidant-with the lowest level of psychological distress symptoms in the rational/nonavoidant cluster. The study highlights the usefulness of combinations of decision-making styles with regard to mental health as well as noting their specificity according to sample characteristics.