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
RMSEA^c	0.061	0.056
SRMR^d	0.044	0.044

^aRecommended value ≥ 0.90 [77]. ^bRecommended value ≥ 0.90 [77]. ^cRecommended value ≤ 0.08 [78]. ^dRecommended value ≤ 0.1 [78].