Model fit and model selection in structural equation modeling.

By S. West, Aaron B. Taylor, Wei Wu. 2012

1,577 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d117389c21b90142798507a83815f46bb397c254

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Citations in the corpus

When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index (2015, background): “Even established SEM fit indexes have specific confounds and limitations (West et al., 2012).”
Gameful Experience in Gamification: Construction and Validation of a Gameful Experience Scale [GAMEX] (2018, methodology): “The six-factor structure fits the data very well (for cut-off criteria, see Hu and Bentler 1999; West, Taylor, and To test whether the previously determined scale dimensionality fits the data better than alternative models, we compared this six-factor model (Model 1) of gameful experience with…”
Emotional demands, emotional labour and occupational outcomes in school principals (2017, background): “The w2 was significant but this can occur in large samples (West et al., 2012).”
Resilience and acculturation among unaccompanied refugee minors (2018, background): “West, Taylor, and Wu (2012) suggest that CFI .95, NNFI .90, RMSEA .05, and SRMR .06 represent a wellfitting model, while CFI .90, NNFI .85, RMSEA .08 and SRMR .10 represent an adequately fitting model.”
Understanding the Model Size Effect on SEM Fit Indices (2018, methodology): “The sample estimator of TLI can be given as follows: dTLI = x20=df0 x2k=dfk x20=df0 1 : In general, TLI .95 is a commonly used cutoff criterion for the goodness of fit (Hu & Bentler, 1999; West et al., 2012).”
Scoring and Modeling Psychological Measures in the Presence of Multidimensionality (2013, result): “Published data from four samples yield similar results (see Table 2); for example, in Zhu et al.’s (2007) student sample (N = 870), coefficient alphas were .”
Does Self-Compassion Entail Reduced Self-Judgment, Isolation, and Over-Identification? A Response to Muris, Otgaar, and Petrocchi (2016) (2016, background): “One advantage of the bifactor model is that it does not completely rely on model fit as an indicator of scale structure the way that other models do—and over-reliance on model fit has been heavily criticized in psychometric circles (Marsh et al. 2005; Marsh et al. 2004; Saris et al. 2009; West et al”