2006
DOI: 10.3200/jexe.74.3.267-288
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The Search for "Optimal" Cutoff Properties: Fit Index Criteria in Structural Equation Modeling

Abstract: This study is a partial replication of L. Hu and P. M. Bentler's (1999) fit criteria work. The purpose of this study was twofold: (a) to determine whether cut-off values vary according to which model is the true population model for a dataset and (b) to identify which of 13 fit indexes behave optimally by retaining all of the correct models while simultaneously rejecting all of the misspecified models in a manner invariant across sample size and data distribution. The authors found that for most indexes the re… Show more

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Cited by 448 publications
(305 citation statements)
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“…To evaluate the model, four goodness-of-fit statistics were calculated: Chi-square, minimum sample discrepancy function (CMIN/DF), root mean square error of approximation (RMSEA), and the Normed Fit Index (NFI). Good fitting models should have a non-significant Chi-square and a CMIN/DF below 2, an RMSEA ≤ 0.05, and a NFI ≥ 0.92 (33,34). Modification indices were reviewed to determine if any paths should be omitted or added.…”
Section: Resultsmentioning
confidence: 99%
“…To evaluate the model, four goodness-of-fit statistics were calculated: Chi-square, minimum sample discrepancy function (CMIN/DF), root mean square error of approximation (RMSEA), and the Normed Fit Index (NFI). Good fitting models should have a non-significant Chi-square and a CMIN/DF below 2, an RMSEA ≤ 0.05, and a NFI ≥ 0.92 (33,34). Modification indices were reviewed to determine if any paths should be omitted or added.…”
Section: Resultsmentioning
confidence: 99%
“…The chi-square/degree of freedom is 2.19, lower than the cut-off value of 3.00 (Simon and Paper, 2007). SRMR is 0.08, lower than 0.10 (Sivo et al, 2006). GFI, AGFI, and NFI are 0.79, 0.76, and 0.77, all lower than 0.80 (Gefen et al, 2003) respectively.…”
Section: Model Fit Assessmentmentioning
confidence: 99%
“…An evaluation of the merged model in Figure 1 indicates that the overall model is fairly realistic when the fit indices of the model are compared with the limits that are suggested in the literature (Schermelleh-Engel et al, 2003;Sivo et al, 2006;Hooper et al, 2008). Table 3 shows the relevant information.…”
Section: The Merger Of Leadership Orientation and The Leaders' Innovamentioning
confidence: 99%