Testing the Effects of the Digital Linguistic Landscape on Engineering Education for Smart Construction

Table 8

Confirmatory factor analysis results of variables.

Dimensions	Variables	Items	Factor loadings	KMO	P	Explained variance ratio (%)
Ability: international ability	A: A-I	A-I1	0.987	0.927	<0.001	98.110
		A-I2	0.991
		A-I3	0.990
		A-I4	0.990
		A-I5	0.988
		A-I6	0.996
Innovation ability	A-CX	A-CX1	0.967	0.927	<0.001	96.154
		A-CX2	0.985
		A-CX3	0.984
		A-CX4	0.981
		A-CX5	0.967
Knowledge	K	K1	0.951	0.946	<0.001	95.320
		K2	0.982
		K3	0.981
		K4	0.979
		K5	0.978
		K6	0.951
Skill	S	S1	0.960	0.818	<0.001	74.118
		S2	0.615
		S3	0.887
		S4	0.888
		S5	0.655
		S6	0.692
Informative dimension of DLL	DLL-Info	DLL-Info1	0.783	0.768	<0.001	81.749
		DLL-Info2	0.920
		DLL-Info3	0.939
		DLL-Info4	0.892
		DLL-Info5	0.783
		DLL-Info6	0.838
		DLL-Info7	0.820
		DLL-Info8	0.670
Symbolic dimension of DLL	DLL-Sym	DLL-Sym1	0.599	0.713	<0.001	79.622
		DLL-Sym2	0.958
		DLL-Sym3	0.912
		DLL-Sym4	0.900
		DLL-Sym5	0.855