Sensitivity of fit indexes to misspecified structural or measurement model components: Rationale of two-index strategy revisited

    Authors

    X. T. Fan;S. A. Sivo

    Comments

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    Abbreviated Journal Title

    Struct. Equ. Modeling

    Keywords

    SAMPLE; Mathematics, Interdisciplinary Applications; Social Sciences, ; Mathematical Methods

    Abstract

    In previous research (Hu & Bentler, 1998, 1999), 2 conclusions were drawn: standardized root mean squared residual (SRMR) was the most sensitive to misspecified factor covariances, and a group of other fit indexes were most sensitive to misspecified factor loadings. Based on these findings, a 2-index strategy-that is, SRMR coupled with another index-was proposed in model fit assessment to detect potential misspecification in both the structural and measurement model parameters. Based on our reasoning and empirical work presented in this article, we conclude that SRMR is not necessarily most sensitive to misspecified factor covariances (structural model misspecification), the group of indexes (TLI, BL89, RNI, CF1, Gamma hat, Me, or RMSEA) are not necessarily more sensitive to misspecified factor loadings (measurement model misspecification), and the rationale for the 2-index presentation strategy appears to have questionable validity.

    Journal Title

    Structural Equation Modeling-a Multidisciplinary Journal

    Volume

    12

    Issue/Number

    3

    Publication Date

    1-1-2005

    Document Type

    Article

    Language

    English

    First Page

    343

    Last Page

    367

    WOS Identifier

    WOS:000230289700001

    ISSN

    1070-5511

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