Research Article
Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis
Table 4
Measures of the model fit.
| Number of observations: 246 |
| Estimator | Maximum likelihood | Robust | Minimum function test statistic | 301.741 | 279.968 | Degrees of freedom | 159 | 159 | value (chi-square) | ≤0.001 | ≤0.001 | Scaling correction factor or the Satorra-Bentler correction | | 1.081 | Model test baseline model | | | Minimum function test statistic | 5648.416 | 2212.795 | Degrees of freedom | 190 | 190 | value | ≤0.001 | ≤0.001 |
| | Maximum likelihood | Robust | User model versus baseline model | | | Comparative fit index (CFI)a | 0.974 | 0.940 | Tucker-Lewis index (TLI)b | 0.969 | 0.929 | RMSEAc | 0.061 | 0.056 | SRMRd | 0.044 | 0.044 |
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aRecommended value ≥ 0.90 [ 77]. bRecommended value ≥ 0.90 [ 77]. cRecommended value ≤ 0.08 [ 78]. dRecommended value ≤ 0.1 [ 78]. |