Predicting Thalasso Tourist Delight: A Hybrid SEM—Artificial Intelligence Analysis
Table 2
Reliability, convergent validity, and discriminant validity: correlation coefficients and chi-square difference test.
Cronbach’s alpha
Composite reliability
AVE
Construct
Body treatment
Human resources
Pool treatment
Environment
Satisfaction
wom
0.915
0.916
0.785
Treatment
0.886
0.868
0.871
0.693
Staff
0.222 (9.831) #0.220#
0.833
0.944
0.944
0.809
Pool
0.698 (153.53) #0.702#
0.259 (13.913) #0.268#
0.900
0.950
0.950
0.825
Environment
0.615 (99.324) #0.614#
0.352 (26.953) #0.338#
0.749 (174.52) #0.750#
0.908
0.955
0.954
0.874
Satisfaction
0.760 (166.61) #0.756#
0.396 (31.651) #0.376#
0.762 (173.62) #0.754#
0.793 (204.76) #0.778#
0.935
0.963
0.963
0.897
wom
0.601 (126.75) #0.668#
0.313 (43.728) #0.434#
0.602 (158.66) #0.722#
0.627 (137.08) #0.671#
0.791 (194.38) #0.774#
0.947
Note: ;;; square root of AVE (in bold) is shown on the diagonal; off-diagonal elements are the correlation coefficients; values in brackets show the chi-square difference statistics with ; values in # show the ratio of heterotrait–monotrait correlations.
