model selectionModel selection is a popular strategy in structural equation modeling (SEM). To select an "optimal" model, many selection criteria have been proposed. In this study, we derive the asymptotics of several popular selection procedures in SEM, including AIC, BIC, the RMSEA, and a ...
Tucker-LewisIndex(TLI)1.067 LoglikelihoodandInformationCriteria: Loglikelihoodusermodel(H0)-1000.419 Loglikelihoodunrestrictedmodel(H1)-997.320 Numberoffreeparameters19 Akaike(AIC)2038.838 Bayesian(BIC)2089.974 Sample-sizeadjustedBayesian(BIC)2029.936 RootMeanSquareErrorofApproximation: RMSEA0.000 90PercentConfidence...
However, the current practice has evolved into a stage at which the fit indi- ces serve as the criteria (and the sole criteria, in many situa- tions) for determining whether to accept or reject a hypothe- sized model. As long as the values of the fit indices reach a Bpublishable ...
M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, pp. 1–55 < Jöreskog, K.G. (1970): A general method for analysis of covariance structures. Biometrika, 57, 2, pp. 239-251 < ...
Beauducel and Herzberg (2006) also found that the performance of the DWLS-scaled model fit indices is not clear and that different cutoff criteria are needed. Garrido, Abad, and Ponsoda (2016) and Yang and Xia (2015) investigated the utility of RMSEAS, CFIS, and TLIS in determining ...