TABLE 2.

Convergent validity of the measurement model.

Construct	Item	Mean	S.D.	Factor loading	Cronbach’s alpha	Composite reliability	Average variance extracted (AVE)
E-learning self-efficacy (E-LSE)	E-LSE1	5.471	1.383	0.784	0.899	0.900	0.694
	E-LSE2	5.298	1.412	0.880
	E-LSE3	5.312	1.380	0.890
	E-LSE4	5.451	1.243	0.771
E-learning monitoring (E-LMT)	E-LMT1	5.127	1.271	0.813	0.812	0.817	0.611
	E-LMT2	5.344	1.17	0.845
	E-LMT3	4.976	1.458	0.676
E-learning willpower (E-LWP)	E-LWP1	4.742	1.389	0.898	0.917	0.919	0.740
	E-LWP2	4.681	1.451	0.884
	E-LWP3	5.013	1.262	0.850
	E-LWP4	4.758	1.414	0.805
E-learning attitude (E-LAT)	E-LAT1	4.962	1.519	0.938	0.885	0.896	0.731
	E-LAT2	4.653	1.607	0.909
	E-LAT3	5.167	1.335	0.697
E-learning motivation (E-LMV)	E-LMV1	5.763	1.068	0.857	0.865	0.864	0.616
	E-LMV2	5.549	1.115	0.841
	E-LMV3	5.641	1.081	0.695
	E-LMV4	5.743	1.095	0.735
E- -learning strategy (E-LST)	E-LST1	5.202	1.179	0.860	0.904	0.911	0.721
	E-LST2	5.067	1.175	0.894
	E-LST3	4.965	1.216	0.892
	E-LST4	4.764	1.431	0.741
E-learning effectiveness (E-LEC)	E-LEC1	5.152	1.188	0.913	0.926	0.928	0.764
	E-LEC2	5.263	1.151	0.920
	E-LEC3	5.068	1.232	0.847
	E-LEC4	5.382	1.265	0.812