Goodness of fit in structural equation models

By Herbert W. Marsh, K. Hau, D. Grayson. 2005

654 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/230fa4e041b1e57372741e116615dcda72376dfd

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Citations in the corpus

Assessing Fit in Structural Equation Models: A Monte-Carlo Evaluation of RMSEA Versus SRMR Confidence Intervals and Tests of Close Fit (2018, background): “Good overviews of the array of goodness-of-fit indexes that have been proposed in the literature are Bollen and Long (1993) and Marsh, Hau, and Grayson (2005).”
Assessing Fit in Ordinal Factor Analysis Models: SRMR vs. RMSEA (2020, unknown): “For overviews of various goodness of fit indices that have been proposed in the literature, readers are referred to the works by Bollen and Long (1993) and Marsh, Hau, and Grayson (2005).”
The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better (2016, background): “As the AIC and the BIC are heavily influenced by sample size (Burnham& Anderson, 2004), Gignac (2007) suggested a TLI difference of .010 may be interpreted as a practical improvement in model fit, as the TLI is only minimally affected by sample size (Marsh et al., 2005).”
A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis (2019, unknown): “Furthermore, previous comparison research examined the standard CFA model only (e.g. Marsh et al., 2005; Morin et al., 2013) and had not considered the nonstandard CFA model that allowed for nonzero cross-loadings.”
Testing the Psychometric Properties of the Interpersonal Reactivity Index (IRI) in Chile Empathy in a Different Cultural Context (2011, unknown): “In our case, the root mean square error of approximation (RMSEA; Steiger, 1990), comparative fit index (CFI; Bentler, 1990), and standardized root mean square residual (SRMR; Kline, 2005; Marsh et al., 2005; Schweizer, 2010) were used.”
The relations between implicit intelligence beliefs, autonomous academic motivation, and school persistence intentions: a mediation model (2015, background): “In applied CFA/SEM research, there is a predominant focus on approximate fit indices that are sample size independent (e.g., Hu and Bentler 1999; Marsh et al. 2004, 2005) such as the Comparative Fit Index (CFI) and the Root Mean Square Error of Approximation (RMSEA).”
Application of Exploratory Structural Equation Modeling to Evaluate the Academic Motivation Scale (2015, background): “These decisions thus need to be complemented with an examination of the adequacy of the various solutions, which should also be inspected for their theoretical conformity whenever this is possible (e.g., Marsh et al., 2004, 2005; Morin et al., 2013).”