Measuring Risk Tolerance across Domains: Scale Development and Validation
Date
Authors
Shou, Yiyun
Olney, Joel
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
Abstract
Risk attitudes are of interest to researchers in many fields as they play a crucial role in our day-to-day decision-making. In this paper we develop a measure of risk attitudes-the Multi-Domain Risk Tolerance (MDRT) scale-that addresses some key shortcomings of popular self-report scales, such as the Domain-Specific Risk-Taking (DOSPERT) scale. We do this by clearly aligning the risk in the items with the particular domain of risk, reducing item ambiguity, and reducing the impact of prior knowledge. We developed the MDRT using an Exploratory Graph Analysis (EGA) and Item Response Theory (IRT) approach with a community sample (N = 921). We examined its construct and convergent validity (N = 493) and construct generalizability (N = 487). We found that the MDRT had excellent internal consistency, dimensionality and latent factor structure. The MDRT also demonstrated significant convergent validity with related scales used in the literature. The MDRT is shown to be a promising alternative measure of risk attitudes.
Description
Citation
Yiyun Shou & Joel Olney (2021): Measuring Risk Tolerance across Domains: Scale Development and Validation, Journal of Personality Assessment, DOI: 10.1080/00223891.2021.1966019
Collections
Source
Journal of personality assessment
Type
Book Title
Entity type
Access Statement
Open Access
License Rights
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)