The Big Five Inventory-2: Replication of Psychometric Properties in a Dutch Adaptation and First Evidence for the Discriminant Predictive Validity of the Facet Scales

This series of studies investigated whether the good psychometric properties of the English version of the Big Five Inventory-2 (BFI-2) could be replicated using its Dutch adaptation. Second, it aimed to further examine the predictive validity of both the Big Five domain and the more specific facet...

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Bibliographic Details
Published in:Journal of personality assessment 2020-05, Vol.102 (3), p.309-324
Main Authors: Denissen, Jaap J. A., Geenen, Rinie, Soto, Christopher J., John, Oliver P., van Aken, Marcel A. G.
Format: Article
Language:English
Subjects:
Adaptation
Adult
Discriminant validity
English language
Experts
Female
Five factor model
Humans
Male
Personality
Personality Inventory
Predictive validity
Psychometrics
Quantitative psychology
Reproducibility of Results
Translations
Validation studies
Validity
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Summary:This series of studies investigated whether the good psychometric properties of the English version of the Big Five Inventory-2 (BFI-2) could be replicated using its Dutch adaptation. Second, it aimed to further examine the predictive validity of both the Big Five domain and the more specific facet scales of the BFI-2 in a large and representative sample. Results indicated that the structure found in the English version was replicated in the Dutch adaptation. The 60-item BFI-2 was reliable at the level of both domains and facets, as were the abbreviated versions. In terms of validity, the domain scales predicted a broad range of criteria. Examination of preregistered hypotheses regarding the discriminant validity of the facets indicated that experts were able to predict which facets would be most strongly associated with specific criteria. Overall, results confirm the strong psychometric properties of the BFI-2 Big Five domain scales and indicate that theoretically identified facets can be more valid predictors of criteria than other facets of the same domain.
ISSN:0022-3891
1532-7752
DOI:10.1080/00223891.2018.1539004