Table 6 Result of hierarchical multiple... | Emerald Publishing

Table 6

Result of hierarchical multiple regression analysis

Predictors	Model 1			Model 2			Model 3			Model 4			Model 5
Predictors	β	t	VIF	β	t	VIF	β	t	VIF	β	t	VIF	β	t	VIF
Subjective norms	0.596	18.152	1.00
Compatibility				0.324	9.707	1.198
Institutional branding							0.237	6.442	1.543
Subject interest										0.136	3.192	1.426
Resource availability													0.137	3.824	1.55
R	0.596			0.666			0.692			0.702			0.71
R²	0.355			0.443			0.479			0.492			0.505
ΔR²	0.355			0.088			0.036			0.013			0.012
ΔF	F (1,598) = 329.499**			F (1,597) = 94.235**			F (1,596) = 41.498**			F (1,595) = 15.301**			F (1,594) = 14.620**

Predictors	Model 1			Model 2			Model 3			Model 4			Model 5
Predictors	β	t	VIF	β	t	VIF	β	t	VIF	β	t	VIF	β	t	VIF
Subjective norms	0.596	18.152	1.00
Compatibility				0.324	9.707	1.198
Institutional branding							0.237	6.442	1.543
Subject interest										0.136	3.192	1.426
Resource availability													0.137	3.824	1.55
R	0.596			0.666			0.692			0.702			0.71
R²	0.355			0.443			0.479			0.492			0.505
ΔR²	0.355			0.088			0.036			0.013			0.012
ΔF	F (1,598) = 329.499**			F (1,597) = 94.235**			F (1,596) = 41.498**			F (1,595) = 15.301**			F (1,594) = 14.620**

Note(s): *means p < 0.05 and **means p < 0.01