Table 4 Assessment of discriminant...

Table 4

Assessment of discriminant validity [Cross-Loading]

Items/construct	Global data					Czech data					Slovak data
Items/construct	CP	EE	FC	INT	PE	CP	EE	FC	INT	PE	CP	EE	FC	INT	PE
CMPR1	0.966	0.091	0.196	0.287	0.267	0.988	0.198	0.260	0.364	0.494	0.886	(0.070)	0.191	0.183	0.049
CMPR2	0.974	0.157	0.232	0.328	0.357	0.988	0.178	0.236	0.376	0.490	0.957	0.116	0.261	0.292	0.294
EEXP1	0.112	0.895	0.483	0.429	0.593	0.217	0.907	0.523	0.369	0.473	0.024	0.870	0.563	0.376	0.730
EEXP2	0.141	0.888	0.468	0.394	0.605	0.146	0.946	0.473	0.365	0.501	0.114	0.844	0.387	0.337	0.703
EEXP3	0.125	0.918	0.495	0.435	0.605	0.230	0.937	0.562	0.409	0.538	(0.012)	0.861	0.473	0.372	0.685
EEXP4	0.089	0.872	0.487	0.449	0.554	0.118	0.926	0.494	0.434	0.530	0.041	0.797	0.541	0.455	0.587
FCND1	0.172	0.448	0.866	0.439	0.477	0.185	0.463	0.876	0.433	0.295	0.220	0.465	0.781	0.371	0.526
FCND2	0.194	0.549	0.889	0.484	0.525	0.280	0.577	0.918	0.444	0.461	0.246	0.503	0.872	0.525	0.536
FCND4	0.199	0.351	0.767	0.367	0.439	0.185	0.388	0.815	0.341	0.330	0.084	0.427	0.691	0.253	0.482
INTD1	0.282	0.479	0.488	0.935	0.621	0.401	0.422	0.422	0.954	0.673	0.119	0.431	0.450	0.875	0.465
INTD2	0.296	0.451	0.492	0.948	0.621	0.346	0.419	0.486	0.971	0.581	0.265	0.454	0.504	0.884	0.534
INTD3	0.323	0.421	0.471	0.941	0.570	0.322	0.380	0.443	0.944	0.526	0.328	0.330	0.406	0.887	0.422
PEXP1	0.280	0.652	0.513	0.635	0.884	0.402	0.599	0.409	0.633	0.874	0.234	0.700	0.568	0.508	0.915
PEXP4	0.289	0.568	0.478	0.563	0.879	0.427	0.438	0.304	0.524	0.832	0.171	0.712	0.587	0.563	0.901
PEXP5	0.274	0.561	0.516	0.543	0.884	0.430	0.376	0.386	0.510	0.853	0.147	0.732	0.630	0.441	0.876
PEXP6	0.284	0.480	0.473	0.463	0.817	0.431	0.401	0.282	0.376	0.801	0.212	0.670	0.492	0.351	0.823

Items/construct	Global data					Czech data					Slovak data
Items/construct	CP	EE	FC	INT	PE	CP	EE	FC	INT	PE	CP	EE	FC	INT	PE
CMPR1	0.966	0.091	0.196	0.287	0.267	0.988	0.198	0.260	0.364	0.494	0.886	(0.070)	0.191	0.183	0.049
CMPR2	0.974	0.157	0.232	0.328	0.357	0.988	0.178	0.236	0.376	0.490	0.957	0.116	0.261	0.292	0.294
EEXP1	0.112	0.895	0.483	0.429	0.593	0.217	0.907	0.523	0.369	0.473	0.024	0.870	0.563	0.376	0.730
EEXP2	0.141	0.888	0.468	0.394	0.605	0.146	0.946	0.473	0.365	0.501	0.114	0.844	0.387	0.337	0.703
EEXP3	0.125	0.918	0.495	0.435	0.605	0.230	0.937	0.562	0.409	0.538	(0.012)	0.861	0.473	0.372	0.685
EEXP4	0.089	0.872	0.487	0.449	0.554	0.118	0.926	0.494	0.434	0.530	0.041	0.797	0.541	0.455	0.587
FCND1	0.172	0.448	0.866	0.439	0.477	0.185	0.463	0.876	0.433	0.295	0.220	0.465	0.781	0.371	0.526
FCND2	0.194	0.549	0.889	0.484	0.525	0.280	0.577	0.918	0.444	0.461	0.246	0.503	0.872	0.525	0.536
FCND4	0.199	0.351	0.767	0.367	0.439	0.185	0.388	0.815	0.341	0.330	0.084	0.427	0.691	0.253	0.482
INTD1	0.282	0.479	0.488	0.935	0.621	0.401	0.422	0.422	0.954	0.673	0.119	0.431	0.450	0.875	0.465
INTD2	0.296	0.451	0.492	0.948	0.621	0.346	0.419	0.486	0.971	0.581	0.265	0.454	0.504	0.884	0.534
INTD3	0.323	0.421	0.471	0.941	0.570	0.322	0.380	0.443	0.944	0.526	0.328	0.330	0.406	0.887	0.422
PEXP1	0.280	0.652	0.513	0.635	0.884	0.402	0.599	0.409	0.633	0.874	0.234	0.700	0.568	0.508	0.915
PEXP4	0.289	0.568	0.478	0.563	0.879	0.427	0.438	0.304	0.524	0.832	0.171	0.712	0.587	0.563	0.901
PEXP5	0.274	0.561	0.516	0.543	0.884	0.430	0.376	0.386	0.510	0.853	0.147	0.732	0.630	0.441	0.876
PEXP6	0.284	0.480	0.473	0.463	0.817	0.431	0.401	0.282	0.376	0.801	0.212	0.670	0.492	0.351	0.823

Note(s): The Table report discriminant validity via cross-loading metric for each of the three datasets (Global, Czech and Slovak). The values in italic are items loading on their respective constructs

Source(s): Table by authors

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