Journal
ORGANIZATIONAL RESEARCH METHODS
Volume 14, Issue 3, Pages 548-570Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1094428110368562
Keywords
fit indices; confirmatory factor analysis; model fit
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Confirmatory factor analytic (CFA) models are frequently used in many areas of organizational research. Due to their popularity, CFA models and issues about their fit have received a vast amount of attention during the past several decades. The purpose of this study was to examine several measures of fit and the appropriateness of previously developed ''rules of thumb'' for their interpretation. First, an empirical example is used to illustrate the effects of nonnormality on maximum likelihood (ML) estimation and to demonstrate the importance of diagonally weighted least squares (DWLS) estimation for organizational research. Then, the results of a simulation study are presented to show that appropriate cutoff values for DWLS estimation vary considerably across conditions. Finally, regression equations are described to aid researchers in selecting cutoff values for assessing the fit of DWLS solutions, given a desired level of Type I error. The results summarized here have important implications for the interpretation and use of CFA models.
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