Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis.

confirmatory factor analysis dynamic cutoffs fit indices model fit review

Journal

Educational and psychological measurement
ISSN: 1552-3888
Titre abrégé: Educ Psychol Meas
Pays: United States
ID NLM: 0372767

Informations de publication

Date de publication:
Feb 2024
Historique:
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 22 1 2024
Statut: ppublish

Résumé

Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs. In this study, we review how model fit in CFA is evaluated in psychological research using fit indices and compare the reported values with established cutoff rules. For this, we collected data on all CFA models in

Identifiants

pubmed: 38250508
doi: 10.1177/00131644231163813
pii: 10.1177_00131644231163813
pmc: PMC10795573
doi:

Types de publication

Journal Article

Langues

eng

Pagination

123-144

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

David Goretzko (D)

Ludwig-Maximilians-Universität München, Germany.
Utrecht University, The Netherlands.

Karik Siemund (K)

Ludwig-Maximilians-Universität München, Germany.

Philipp Sterner (P)

Ludwig-Maximilians-Universität München, Germany.

Classifications MeSH