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The model fit information showed satisfactory results.
Table 6 shows model fit information from the SEM models.
Table 9 Model fit information Model −2 Log Likelihood Chi-Square df Sig.
However, the model fit information (Table 9) showed the significant result.
Items within a scale were combined in pairs; for each possible pair, we calculated Pearson's chi-square and residual z-scores for bivariate model fit information (for all possible combinations of that pair's responses).
Because ANPP contained four repeated measures, we used model fit information criteria (i.e., AIC, AICC, and BIC) to select the most appropriate covariance structure (UN = unstructured, AR = autoregressive, CS = compound symmetry) for repeated measures and assigned the Kenward Roger method to estimate degrees of freedom (Littell et al. 2006).
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The model fitting information tables indicated that our models would give better predictions than intercept-only models (see results) [ 22- 24].
The model fitting information shows that the null hypothesis: that all the variable coefficients are equal to zero is false (P=0.028).
To evaluate model fit, common information criteria such as the Akaike's Information Criterion (AIC) and the Bayesian Information Criterion (BIC) were taken into account.
Table 9 Model fit indices information Model Fit index Conceptual model Recommended criterion Judgment SERVQUAL χ2 2004.84 (p = 0.000) – – χ2/d.f.f
Regarding the research results, although some model fit indices information have not met the standard values in measurement model fit statistics, they still fall in an acceptable range.
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