Table 2.
Trust in the government and scientists regression models generated by PROCESS Model 4.
| Variables | B (SE; 95% CI) | P value | |||
| Predicting information engagementa | |||||
|
|
Negative emotions | 0.219 (0.023; 0.174 to 0.265) | <.001 | ||
|
|
Age (years) | −0.006 (0.002; −0.010 to –0.001) | .02 | ||
|
|
Gender | 0.006 (0.038; −0.069 to 0.080) | .88 | ||
|
|
Education | 0.038 (0.022; −0.006 to 0.081) | .09 | ||
|
|
Income | 0.045 (0.012; 0.024 to 0.066) | <.001 | ||
| Predicting trust in the governmentb | |||||
|
|
Negative emotions | 0.191 (0.022; 0.148 to 0.233) | <.001 | ||
|
|
Information engagement | 0.074 (0.023; 0.029 to 0.120) | .001 | ||
|
|
Age (years) | 0.005 (0.002; 0.001 to 0.010) | .001 | ||
|
|
Gender | 0.024 (0.035; −0.044 to 0.092) | .49 | ||
|
|
Education | −0.026 (0.020; −0.066 to 0.014) | .21 | ||
|
|
Income | 0.015 (0.010; −0.005 to 0.035) | .13 | ||
| Predicting trust in scientistsc | |||||
|
|
Negative emotions | 0.184 (0.017; 0.150 to 0.218) | <.001 | ||
|
|
Information engagement | 0.054 (0.018; 0.018 to 0.090) | .003 | ||
|
|
Age (years) | −0.002 (0.002; −0.005 to 0.001) | .26 | ||
|
|
Gender | −0.009 (0.027; −0.062 to 0.045) | .75 | ||
|
|
Education | −0.009 (0.016; −0.040 to 0.022) | .57 | ||
|
|
Income | −0.008 (0.008; −0.023 to 0.007) | .29 | ||
aR2=0.070; F5,1562=23.46.
bR2=0.073; F6,1561=20.41.
cR2=0.089; F6,1561=25.38.