Factors influencing COVID-19 knowledge-gap: a cross-sectional study in China

BMC Public Health

Table 6 Results of hierarchical regression analysis (n = 981)

	Model 1					Model 2					Model 3
	B	SE	t	p	β	B	SE	t	p	β	B	SE	t	p	β
Constant	4.043**	0.144	28.172	0	–	0.804**	0.289	2.78	0.006	–	2.114**	0.757	2.792	0.005	–
Education level	0.275**	0.038	7.327	0	0.228	0.158**	0.036	4.377	0	0.131	−0.272	0.224	−1.218	0.224	−0.225
Internet media						0.357**	0.04	8.884	0	0.274	0.129	0.1	1.29	0.197	0.099
Perceived salience of information						0.233**	0.036	6.541	0	0.196	0.240*	0.105	2.285	0.023	0.203
education*internet media											0.075*	0.03	2.49	0.013	0.462
education*perceived salience of information											−0.004	0.03	−0.13	0.897	−0.024
R ²	0.052					0.185					0.191
Adjusted R ²	0.051					0.183					0.187
F	F (1,979) =53.689, p = 0.000					F (3,977) =74.096, p = 0.000					F (5,975) =45.964, p = 0.000
△R ²	0.052					0.133					0.005
△F	F (1,979) =53.689, p = 0.000					F (2,977) =79.970, p = 0.000					F (2,975) =3.253, p = 0.039

ISSN: 1471-2458