TY - JOUR
T1 - Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models
AU - McNeish, Daniel
AU - Wolf, Melissa G.
N1 - Publisher Copyright:
© 2024 Taylor & Francis Group, LLC.
PY - 2024
Y1 - 2024
N2 - Despite the popularity of traditional fit index cutoffs like RMSEA ≤.06 and CFI ≥.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics of the model being evaluated. Simulations show favorable performance of these methods; however, these methods support a narrow set of scenarios (e.g., certain models or response scales) and the interpretation of cutoffs is not always standardized, which affects empirical researchers’ ability to confidently and broadly adopt these methods to evaluate model fit. In this paper, we propose an extension to one recently developed computational method—dynamic fit index cutoffs—that (a) permits application to any covariance structure model (e.g., CFA, mediation, bifactor), (b) standardizes interpretation of cutoffs across any covariance structure model, and (c) supports normal, nonnormal, categorical, and missing data. Software is provided to facilitate implementation of the method.
AB - Despite the popularity of traditional fit index cutoffs like RMSEA ≤.06 and CFI ≥.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics of the model being evaluated. Simulations show favorable performance of these methods; however, these methods support a narrow set of scenarios (e.g., certain models or response scales) and the interpretation of cutoffs is not always standardized, which affects empirical researchers’ ability to confidently and broadly adopt these methods to evaluate model fit. In this paper, we propose an extension to one recently developed computational method—dynamic fit index cutoffs—that (a) permits application to any covariance structure model (e.g., CFA, mediation, bifactor), (b) standardizes interpretation of cutoffs across any covariance structure model, and (c) supports normal, nonnormal, categorical, and missing data. Software is provided to facilitate implementation of the method.
KW - CFI
KW - cutoffs
KW - model fit
KW - RMSEA
UR - http://www.scopus.com/inward/record.url?scp=85188068596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188068596&partnerID=8YFLogxK
U2 - 10.1080/10705511.2024.2308005
DO - 10.1080/10705511.2024.2308005
M3 - Article
AN - SCOPUS:85188068596
SN - 1070-5511
JO - Structural Equation Modeling
JF - Structural Equation Modeling
ER -