Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited

By Xitao Fan, Stephen A. Sivo. 2005

446 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/b911bbd3593666420dd879a9d8dc591cf5a6e216

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In Management Science and Operations Research

Citations in the corpus

A Bifactor Exploratory Structural Equation Modeling Framework for the Identification of Distinct Sources of Construct-Relevant Psychometric Multidimensionality (2016, background): “In addition, these indexes still appear to show sensitivity to design conditions and model complexity (e.g., Fan & Sivo, 2005, 2007), calling into question the generalizability of these guidelines outside of the conditions considered in previous simulation studies and, importantly, the CFA…”
Structural Equation Modeling in Language Testing and Learning Research: A Review (2011, background): “Fourth, Bentler (2006) argued that SRMR is also sensitive to model misspecification, although Fan and Sivo (2005) and Yuan (2005) disagreed with this.”
The Relationship Between Root Mean Square Error of Approximation and Model Misspecification in Confirmatory Factor Analysis Models (2012, background): “In a related approach, Fan and Sivo (2005, 2007) suggest that the relative ‘‘size’’ of misspecification should be linked to the power of the model test statistic to reject the model.”
Technology acceptance among pre-service teachers: Does gender matter? (2015, background): “At each level of invariance test, if the null hypothesis of 1 However, for discussions that question the validity of such recommended values, please see Fan and Sivo (2005), and Marsh, Hau, and Wen (2004).”
Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics (2010, methodology): “In simulation studies, RMSEA over-rejects true models for “small” N (Nb250), the fit tends to worsen as the number of variables in the model increase, etc. (Fan & Sivo 2005; Hu & Bentler, 1998; Kenny & McCoach, 2003).”
Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? (2018, methodology): “…size, loading size, estimator, and model misspecification, have been included in studies to provide information about situations where fit indexes perform well and not so well (e.g., Fan & Sivo, 2005; Fan, Thompson, & Wang, 1999; Hu & Bentler, 1998; Kenny &McCoach, 2003; Marsh, Hau, &Wen, 2004).”
Reporting practices in confirmatory factor analysis: an overview and some recommendations. (2009, methodology): “However, during the time when we were coding articles for this study, the recommendations made by Hu and Bentler came under criticism, most notably by Marsh et al. (2004) and Fan and Sivo (2005).”
A Latent Growth Curve Analysis of Prosocial Behavior Among Rural Adolescents (2007, background): “Recent Monte Carlo research and commentary (Fan & Sivo, 2005; Marsh, Hau, & Wen, 2004) has suggested that the models used by Hu and Bentler were overly simplistic and thus the “rules” derived may not be applicable to more complex model testing situations.”