Assessing a domain-specific risk-taking construct: A meta-analysis of reliability of the DOSPERT scale

• Main Authors: Yiyun Shou, Joel Olney
• Format: Article
• Language: English
• Published: Society for Judgment and Decision Making 2020-01-01
• Series: Judgment and Decision Making
• Subjects: risk attitudes; domain specific risk taking scale; meta-analysis; reliability generalizationnakeywords
• Online Access: http://journal.sjdm.org/19/190621c/jdm190621c.pdf

The DOSPERT scale has been used extensively to understand individual differences in risk attitudes across varying decision domains since 2002. The present study reports a reliability generalization meta-analysis to summarize the internal consistency of both the initial and the revised versions of DOSPERT. It also examined factors that can influence the reliability of the DOSPERT and its subscales. A total of 104 samples (N = 30,109) that reported 465 coefficient alphas were analyzed. Results of meta-regression models showed that the overall coefficient alpha of the DOSPERT total scores was satisfactory, regardless of the scale and study characteristics. Coefficient alphas varied significantly across domain subscales, with values ranging from .68 for the social domain to .80 for the recreational domain. In addition, the alpha coefficients of subscales varied significantly depending on various study characteristics. Finally, we report the meta-analysis of the intercorrelations among DOSPERT subscales and reveal that intercorrelations among the subscales are heterogeneous. We discuss the theoretical implications of the present findings.