Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification

@article{Hu1998FitII,
  title={Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification},
  author={Li-tze Hu and Peter M. Bentler},
  journal={Psychological Methods},
  year={1998},
  volume={3},
  pages={424-453}
}
This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution. The effect of violating assumptions of asymptotic robustness theory also was examined. Standardized root-mean-square residual (SRMR) was the most sensitive index to models with misspecified factor covariance(s), and Tucker-Lewis Index (1973; TLI), Bollen's… 

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