Journal article
Expanding Bifactor Models of Psychological Traits to Account for Multiple Sources of Measurement Error
Psychological assessment, Vol.34(12), pp.1093-1111
12/2022
DOI: 10.1037/pas0001170
PMID: 36265049
Abstract
Over the last decade, applications of bifactor modeling within clinical settings have increased markedly but typically rely on data collected on single occasions. A shortcoming of such research is that reliability coefficients are likely inflated because key sources of measurement error are inadequately modeled and/or confounded with construct variance. We address these problems using three variations of multi-occasion bifactor models with Bayesian-derived parameter estimates to separate systematic variance into general and group factor effects and measurement error into three subcomponents (transient, specific-factor, and random-response). Collectively, these models produce indices of reliability and validity aligned with both standard confirmatory factor models and generalizability designs that extend interpretations of results to the broader domains from which items and occasions are sampled. We demonstrate how these techniques can provide new insights into psychometric properties of scores using Negative Emotionality domain and facet scales from the newly updated Big Five Inventory (BFI-2; Soto & John, 2017). Overall, the two-occasion congeneric bifactor model provided the best fit to the data and most informative indices for revising measures, examining dimensionality of composite and subscale scores, and evaluating the viability of those scores. We include code in R for analyzing all models in our extended online Supplemental Material.
Details
- Title: Subtitle
- Expanding Bifactor Models of Psychological Traits to Account for Multiple Sources of Measurement Error
- Creators
- Walter P. Vispoel - Univ Iowa, Dept Psychol & Quantitat Fdn, 361 Lindquist Ctr, Iowa City, IA 52242 USAHyeryung Lee - Univ Iowa, Dept Psychol & Quantitat Fdn, 361 Lindquist Ctr, Iowa City, IA 52242 USAGuanlan Xu - University of IowaHyeri Hong - Univ Iowa, Dept Psychol & Quantitat Fdn, 361 Lindquist Ctr, Iowa City, IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Psychological assessment, Vol.34(12), pp.1093-1111
- Publisher
- Amer Psychological Assoc
- DOI
- 10.1037/pas0001170
- PMID
- 36265049
- ISSN
- 1040-3590
- eISSN
- 1939-134X
- Number of pages
- 20
- Grant note
- Iowa Measurement Research Foundation
- Language
- English
- Date published
- 12/2022
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371113202771
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