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BFI-2-R

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DataCite Commons2024-04-08 更新2025-04-16 收录
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The Big Five Inventory-2 (BFI-2) is one of the most used questionnaires to assess personality traits, distinguishing 15 facets. Despite its usage, there is still room for research to improve its psychometric properties. We applied the Rasch analysis (RA) to transform the BFI-2 into an instrument consisting of actual interval scales (obtaining the BFI-2-R), involving 5362 Italian adults. Five confirmatory factor analyses supported the three-facet structure of each trait. This structure resulted invariant at the scalar level across sex. For each facet, we confirmed the RA assumptions (presence of monotonicity, local independence, unidimensionality, and absence of differential item functioning). We then found that our data fit the Rasch model for each facet. Finally, we documented the discriminant and convergent validity of the BFI-2-R. Overall, the findings supported the goodness of the BFI-2-R and permit to extend research on the Big Five with an instrument considering the properties of fundamental measurement. 

提供机构:
IEEE DataPort
创建时间:
2024-04-08
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