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

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

  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
  1. Dependent variable: Score of the COVID-19 knowledge
  2. * p < 0.05 ** p < 0.01