Master of Arts (M.A.)
Degree Granting Department
Brenton M. Wiernik, Ph.D.
Stephen Stark, Ph.D.
Marina A. Bornovalova, Ph.D.
Big Five, China, Cross-cultural, genetic algorithm, item response theory, psychometrics
In this study we aimed to create a short, public-domain analogue of the Cross-Cultural (Chinese) Personality Assessment Inventory (CPAI-2; F. M. Cheung et al., 1996). Emic (culture-specific) traits measured by the CPAI-2 are purportedly specific to the Chinese culture and argued to not be fully captured by the consensus Big Five personality trait taxonomy. Research suggests that CPAI-2 traits may have unique predictive power, especially in non-Western contexts. However, research has been hampered by several limitations of the measure. The inventory is proprietary and long, with 341 items forming 28 scales and four factors. Cross-cultural personality research would benefit from a short, public-domain analogue to the CPAI-2 to permit assessment in a wider range of contexts. Using two analytic approaches—item factor analysis and a genetic algorithm (Yarkoni, 2018)—we developed two short, public-domain measures to assess the 11 emic CPAI-2 scales that have no clear analogues in the current public-domain personality measure library. When examining the resulting measures’ factor structure, reliability, and criterion-related validity, we see that both short-form measures adequately replicate the pattern of correlations exhibited by the full-form measure as well as the original CPAI-2. Implications for research using automated scale abbreviation and the cultural specificity hypothesis of personality are discussed.
Scholar Commons Citation
Raghavan, Mukhunth, "Creating a Short, Public-Domain Version of the CPAI-2: Using an Algorithmic Approach to Develop Public-Domain Measures of Indigenous Personality Traits" (2022). USF Tampa Graduate Theses and Dissertations.