Table 2 Linear regression model coefficients.
Demographic | Economic status | Media | |||||||
|---|---|---|---|---|---|---|---|---|---|
Predictors | Beta | 95% CI1 | p-value | Beta | 95% CI1 | p-value | Beta | 95% CI1 | p-value |
Sex | |||||||||
Woman | — | — | — | — | — | — | |||
Man | -0.159 | -0.273, -0.044 | 0.007 | -0.122 | -0.237, -0.008 | 0.036 | -0.101 | -0.216, 0.013 | 0.083 |
Education level | |||||||||
Basic vocational or lower | — | — | — | — | — | — | |||
Secondary or post-secondary | -0.121 | -0.256, 0.014 | 0.078 | -0.090 | -0.225, 0.044 | 0.189 | -0.058 | -0.192, 0.076 | 0.397 |
Bachelor’s degree or higher | -0.390 | -0.543, -0.238 | 0.000 | -0.343 | -0.497, -0.189 | 0.000 | -0.303 | -0.457, -0.150 | 0.000 |
Age | -0.007 | -0.010, -0.003 | 0.000 | -0.006 | -0.010, -0.003 | 0.001 | -0.004 | -0.007, 0.000 | 0.068 |
Size of domicile | |||||||||
Rural | — | — | — | — | — | — | |||
Less than 100 thous. | 0.065 | -0.073, 0.202 | 0.359 | 0.076 | -0.061, 0.213 | 0.276 | 0.080 | -0.056, 0.215 | 0.249 |
100 thous. or more | -0.260 | -0.403, -0.117 | 0.000 | -0.241 | -0.383, -0.099 | 0.001 | -0.236 | -0.377, -0.095 | 0.001 |
Socioeconomic status | 0.000 | -0.004, 0.003 | 0.819 | 0.000 | -0.004, 0.003 | 0.828 | |||
Worrying about household finances | |||||||||
Worrying | — | — | — | — | |||||
Not worrying | -0.264 | -0.382, -0.146 | 0.000 | -0.271 | -0.388, -0.154 | 0.000 | |||
News engagement | |||||||||
Yes | — | — | |||||||
No | 0.318 | 0.177, 0.460 | 0.000 | ||||||
Online hours | 0.007 | -0.001, 0.015 | 0.094 | ||||||
R2 | 0.077 | 0.096 | 0.115 | ||||||
Adjusted R2 | 0.072 | 0.089 | 0.106 | ||||||
Sigma | 0.914 | 0.906 | 0.897 | ||||||
Statistic | 13.8 | 13.1 | 12.9 | ||||||
p-value | 0.000 | 0.000 | 0.000 | ||||||
df | 6 | 8 | 10 | ||||||
Log-likelihood | -1.327 | -1.316 | -1.306 | ||||||
AIC | 2.669 | 2.653 | 2.635 | ||||||
BIC | 2.708 | 2.702 | 2.694 | ||||||
Deviance | 830 | 813 | 796 | ||||||
Residual df | 993 | 991 | 989 | ||||||
No. Obs. | 1.000 | 1.000 | 1.000 | ||||||
