Assessing the Evaluative Content of Personality Questionnaires Using Bifactor Models. Issue 4 (4th July 2018)

• Record Type: Journal Article
• Authors: Biderman, Michael D.; McAbee, Samuel T.; Job Chen, Zhuo; Hendy, Nhung T.
• Is Part Of: Journal of personality assessment. Volume 100:Issue 4(2018)
• Page Start: 375
• Page End: 388
• Publication Date: 2018-07-04
• Subjects: Personality assessment -- Periodicals; Psychology; Periodicals; 155.28
• DOI: 10.1080/00223891.2017.1406362
• Languages: English
• ISSNs: 0022-3891

Abstract

ABSTRACT: Exploratory bifactor models with keying factors were applied to item response data for the NEO–FFI–3 and HEXACO–PI–R questionnaires. Loadings on a general factor and positive and negative keying factors correlated with independent estimates of item valence, suggesting that item valence influences responses to these questionnaires. Correlations between personality domain scores and measures of self-esteem, depression, and positive and negative affect were all reduced significantly when the influence of evaluative content represented by the general and keying factors was removed. Findings support the need to model personality inventories in ways that capture reactions to evaluative item content.