RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods

In structural equation modeling, application of the root mean square error of approximation (RMSEA), comparative fit index (CFI), and Tucker–Lewis index (TLI) highly relies on the conventional cutoff values developed under normal-theory maximum likelihood (ML) with continuous data. For ordered categ...

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Veröffentlicht in:	Behavior research methods Jg. 51; H. 1; S. 409 - 428
Hauptverfasser:	Xia, Yan, Yang, Yanyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 15.02.2019 Springer Nature B.V
Schlagworte:	Behavioral Science and Psychology Brief Report Cognitive Psychology Continuous data Data Data processing Indexes Matrices Nominal measurement Psychology Structural equation modeling Ordered categorical data Unweighted least squares Fit index Maximum likelihood Structural equation modeling Diagonally weighted least squares
ISSN:	1554-3528, 1554-3528
Online-Zugang:	Volltext
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