Table 3.
Hierarchical linear regression for prediction of COVID-19 protective behaviors through demographic characteristics and eHL.
| Variables | ß | R2 change | F change | SE | p-value |
|---|---|---|---|---|---|
| Block 1 | |||||
| Age | 0.127* | 0.160 | 8.886 | 0.014 | <0.001 |
| Gender | 0.083 | 0.339 | |||
| Education level | 0.204* | 0.148 | |||
| Job | 0.212* | 0.063 | |||
| Income | 0.168* | 0.135 | |||
| Marriage | 0.107* | 0.447 | |||
| Residence | 0.055 | 0.484 | |||
| Family size | 0.338* | 0.338 | |||
| Block 2 | |||||
| Age | 0.138 | 0.165 | 18.02 | 0.013 | <0.001 |
| Gender | 0.048 | 0.323 | |||
| Education level | 0.167* | 0.136 | |||
| Job | 0.125* | 0.059 | |||
| Income | 0.097 | 0.124 | |||
| Marriage | 0.138* | 0.407 | |||
| Residence | 0.013 | 0.444 | |||
| Family size | 0.012 | 0.307 | |||
| Cues to action | 0.047 | 0.006 | |||
| Risk perception | 0.027 | 0.002 | |||
| Self-efficacy | 0.214* | 0.045 | |||
| Perceived benefits | 0.296* | 0.088 | |||
| Perceived barriers | −0.075 | 0.044 | |||
| Block 3 | |||||
| Age | 0.059 | 0.030 | 17.24 | 0.013 | <0.001 |
| Gender | 0.066 | 0.318 | |||
| Educational level | 0.125* | 0.136 | |||
| Job | 0.127* | 0.057 | |||
| Income | 0.095 | 0.121 | |||
| Marriage | 0.125* | 0.399 | |||
| Residence | 0.013 | 0.435 | |||
| Family size | 0.020 | 0.305 | |||
| Cues to action | 0.021 | 0.305 | |||
| Risk perception | 0.010 | 0.005 | |||
| Self-efficacy | 0.240* | 0.002 | |||
| Perceived benefits | 0.272* | 0.045 | |||
| Perceived barriers | −0.077 | 0.086 | |||
| eHL | 0.206* | 0.043 | |||
| Total R2 | 0.355 | – | – | – | – |
| Adjusted R2 | 0.330 | – | – | – | – |
*
p < 0.05.