Table 3 Multiple regression with... | Emerald Publishing

Table 3

Multiple regression with stepwise procedure to predict each teaching self-efficacy subscale

	Model fit				Coefficients
	R²	F	df	p	β	SE	p
Motivation	0.26	24.24	2.138	<0.001
Intercept					3.36	0.26	<0.001
Perceived usefulness					0.20	0.05	<0.001
System quality					0.19	0.06	0.002
Instruction	0.49	44.09	3.137	<0.001
Intercept					2.58	0.22	<0.001
Perceived usefulness					0.23	0.04	<0.001
System quality					0.18	0.05	0.001
Facilitating condition					0.12	0,04	0.003
Engagement	0.44	54.97	2.138	<0.001
Intercept					3.31	0.23	<0.001
Attitude to use					0.37	0.04	<0.001
Facilitating condition					0.10	0.04	0.01
Outcome expectancy	0.32	21.76	3.137	<0.001
Intercept					3.14	0.26	<0.001
Perceived usefulness					0.14	0.05	0.006
Intend to use					0.17	0.06	0.008
Facilitating condition					0.10	0.04	0.010

	Model fit				Coefficients
	R²	F	df	p	β	SE	p
Motivation	0.26	24.24	2.138	<0.001
Intercept					3.36	0.26	<0.001
Perceived usefulness					0.20	0.05	<0.001
System quality					0.19	0.06	0.002
Instruction	0.49	44.09	3.137	<0.001
Intercept					2.58	0.22	<0.001
Perceived usefulness					0.23	0.04	<0.001
System quality					0.18	0.05	0.001
Facilitating condition					0.12	0,04	0.003
Engagement	0.44	54.97	2.138	<0.001
Intercept					3.31	0.23	<0.001
Attitude to use					0.37	0.04	<0.001
Facilitating condition					0.10	0.04	0.01
Outcome expectancy	0.32	21.76	3.137	<0.001
Intercept					3.14	0.26	<0.001
Perceived usefulness					0.14	0.05	0.006
Intend to use					0.17	0.06	0.008
Facilitating condition					0.10	0.04	0.010