Table A2. Convergent validity assessment...

Table A2.

Convergent validity assessment

Construct	Item	Standardized item loadings				Cronbach’s alpha	Composite reliability	Average variance extracted (AVE)
AQWINT	AQWINT1	0.905				0.95	0.95	0.79
	AQWINT2	0.919
	AQWINT3	0.915
	AQWINT4	0.903
	AQWINT5	0.923
CPH	CPH1		0.913			0.95	0.95	0.78
	CPH2		0.921
	CPH3		0.902
	CPH4		0.868
	CPH5		0.917
	CPH6		0.900
RISKAVOID	RAV1			0.945		0.93	0.93	0.81
	RAV2			0.936
	RAV3			0.927
WI	WI1				0.774	0.94	0.94	0.57
	WI10				0.663
	WI11				0.747
	WI12				0.869
	WI13 (dropped)				0.869
	WI14				0.782
	WI2				0.763
	WI3				0.832
	WI4				0.834
	WI5				0.804
	WI6				0.793
	WI7				0.743
	WI8				0.791
	WI9				0.701

Construct	Item	Standardizeditem loadings				Cronbach’salpha	Compositereliability	Average varianceextracted (AVE)
AQWINT	AQWINT1	0.905				0.95	0.95	0.79
	AQWINT2	0.919
	AQWINT3	0.915
	AQWINT4	0.903
	AQWINT5	0.923
CPH	CPH1		0.913			0.95	0.95	0.78
	CPH2		0.921
	CPH3		0.902
	CPH4		0.868
	CPH5		0.917
	CPH6		0.900
RISKAVOID	RAV1			0.945		0.93	0.93	0.81
	RAV2			0.936
	RAV3			0.927
WI	WI1				0.774	0.94	0.94	0.57
	WI10				0.663
	WI11				0.747
	WI12				0.869
	WI13 (dropped)				0.869
	WI14				0.782
	WI2				0.763
	WI3				0.832
	WI4				0.834
	WI5				0.804
	WI6				0.793
	WI7				0.743
	WI8				0.791
	WI9				0.701

Notes:

Convergent validity estimates focuses on multi-item latent constructs. Therefore, single-item variables were not reported in the table although they were included in the model

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