Table 2.

Correlation analysis.

Variables	GraSoug	SeriCons	GraObt	CulAwar	InvFeel	CulAcc	CulKnow	VIF
GraSoug	1							2.103
	$\overline{x}$ = 4.50
SeriCons	0.491**	1						1.990
	p < 0.01	$\overline{x}$ = 3.94
GraObt	0.714**	0.648**	1					3.009
	p < 0. 01	p < 0.01	$\overline{x}$ = 4.30
CulAwar	0.536**	0.486**	0.627**	1				1.927
	p < 0.01	p < 0.01	p < 0.01	$\overline{x}$ = 4.27
InvFeel	0.427**	0.557**	0.529**	0.559**	1			2.120
	p < 0.01	p < 0.01	p < 0.01	p < 0.01	$\overline{x}$ = 3.62
CulAcc	0.435**	0.538**	0.524**	0.509**	0.655**	1		1.980
	p < 0.01	p < 0.01	p < 0.01	p < 0.01	p < 0.01	$\overline{x}$ = 4.03
CulKnow	0.443**	0.509**	0.547**	0.577**	0.611**	0.745**	1
	p < 0.01	p < 0.01	p < 0.01	p < 0.01	p < 0.01	p < 0.01	$\overline{x}$ = 3.95

^**Correlation is significant at the 0.01 level (two-tailed).