Journal article
Expanding G-Theory Models to Incorporate Congeneric Relationships: Illustrations Using the Big Five Inventory
Journal of personality assessment, Vol.103(4), pp.429-442
07/04/2021
DOI: 10.1080/00223891.2020.1808474
PMID: 32926640
Abstract
We used structural equation modeling techniques to expand traditional generalizability theory (G-theory) models to allow for congeneric relationships among item responses while accounting for the primary sources of measurement error that affect results from objectively scored, self-report measures. Data came from 919 respondents who completed the Agreeableness, Conscientiousness, Extraversion, Neuroticism, and Openness subscales of the Big Five Inventory (BFI; John et al.,1991) on two occasions. When compared to traditional and factor-based essential tau-equivalent G-theory models, congeneric models on average yielded superior fit statistics, higher estimates of reliability, and lower estimates of transient and specific-factor measurement error. Essential tau-equivalent and congeneric factor models also were configured to allow for simultaneous partitioning of systematic and measurement error variance at both total score and individual item levels. We provide detailed guidelines, examples, and computer code in R for all models discussed in an extended online supplement to enable readers to apply the demonstrated techniques.
Details
- Title: Subtitle
- Expanding G-Theory Models to Incorporate Congeneric Relationships: Illustrations Using the Big Five Inventory
- Creators
- Walter P. Vispoel - University of IowaGuanlan Xu - University of IowaMurat Kilinc - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of personality assessment, Vol.103(4), pp.429-442
- Publisher
- Taylor & Francis
- DOI
- 10.1080/00223891.2020.1808474
- PMID
- 32926640
- ISSN
- 0022-3891
- eISSN
- 1532-7752
- Number of pages
- 14
- Grant note
- Iowa Measurement Research Foundation
- Language
- English
- Date published
- 07/04/2021
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371297802771
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