Literature DB >> 28583005

Development and Validation of the Faceted Inventory of the Five-Factor Model (FI-FFM).

David Watson1, Ericka Nus2, Kevin D Wu3.   

Abstract

The Faceted Inventory of the Five-Factor Model (FI-FFM) is a comprehensive hierarchical measure of personality. The FI-FFM was created across five phases of scale development. It includes five facets apiece for neuroticism, extraversion, and conscientiousness; four facets within agreeableness; and three facets for openness. We present reliability and validity data obtained from three samples. The FI-FFM scales are internally consistent and highly stable over 2 weeks (retest rs ranged from .64 to .82, median r = .77). They show strong convergent and discriminant validity vis-à-vis the NEO, the Big Five Inventory, and the Personality Inventory for DSM-5. Moreover, self-ratings on the scales show moderate to strong agreement with corresponding ratings made by informants ( rs ranged from .26 to .66, median r = .42). Finally, in joint analyses with the NEO Personality Inventory-3, the FI-FFM neuroticism facet scales display significant incremental validity in predicting indicators of internalizing psychopathology.

Entities:  

Keywords:  agreeableness; conscientiousness; extraversion; five-factor model of personality; hierarchical measures; neuroticism; openness

Mesh:

Year:  2017        PMID: 28583005     DOI: 10.1177/1073191117711022

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  10 in total

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Review 2.  Constructing validity: New developments in creating objective measuring instruments.

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7.  Personality Correlates of Self-Injury in Adolescent Girls: Disentangling the Effects of Lifetime Psychopathology.

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8.  The association between facets of conscientiousness and performance-based and informant-rated cognition, affect, and activities in older adults.

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Journal:  J Pers       Date:  2021-07-28

9.  Artificial intelligence language predictors of two-year trauma-related outcomes.

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10.  Exploring the utility of RDoC in differentiating effectiveness amongst antidepressants: A systematic review using proposed psychometrics as the unit of analysis for the Negative Valence Systems domain.

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Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

  10 in total

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