Table 3 Discriminant validity For China... | Emerald Publishing

Table 3

Discriminant validity

	For China						For Malaysia
Constructs	1	2	3	4	5	6	1	2	3	4	5	6
Fornell and Larcker's
1. EC	0.863						0.863
2. FoMO	0.318	0.858					0.342	0.853
3. HUESM	0.178	0.635	0.923				0.216	0.625	0.919
4. PreF	0.434	0.111	−0.003	0.722			0.455	0.123	0.038	0.717
5. ProF	0.599	0.204	0.061	0.669	0.824		0.610	0.229	0.094	0.676	0.824
6. WE	0.130	0.525	0.760	0.000	0.033	0.905	0.152	0.532	0.754	0.042	0.068	0.910
Heterotrait-monotrait (HTMT)
1. EC
2. FoMO	0.340						0.371
3. HUESM	0.189	0.697					0.234	0.689
4. PreF	0.476	0.104	0.053				0.498	0.111	0.057
5. ProF	0.652	0.208	0.073	0.742			0.656	0.233	0.098	0.754
6. WE	0.130	0.560	0.814	0.057	0.081		0.160	0.569	0.809	0.061	0.093

	For China						For Malaysia
Constructs	1	2	3	4	5	6	1	2	3	4	5	6
Fornell and Larcker's
1. EC	0.863						0.863
2. FoMO	0.318	0.858					0.342	0.853
3. HUESM	0.178	0.635	0.923				0.216	0.625	0.919
4. PreF	0.434	0.111	−0.003	0.722			0.455	0.123	0.038	0.717
5. ProF	0.599	0.204	0.061	0.669	0.824		0.610	0.229	0.094	0.676	0.824
6. WE	0.130	0.525	0.760	0.000	0.033	0.905	0.152	0.532	0.754	0.042	0.068	0.910
Heterotrait-monotrait (HTMT)
1. EC
2. FoMO	0.340						0.371
3. HUESM	0.189	0.697					0.234	0.689
4. PreF	0.476	0.104	0.053				0.498	0.111	0.057
5. ProF	0.652	0.208	0.073	0.742			0.656	0.233	0.098	0.754
6. WE	0.130	0.560	0.814	0.057	0.081		0.160	0.569	0.809	0.061	0.093

Source(s): Authors' own compilation