Table 4.
Predictors |
Model 1. CTE |
Model 2. Media skepticism |
Model 3. CTE |
|||
---|---|---|---|---|---|---|
b | t | b | t | b | t | |
Age | .005 | .65 | .003 | .47 | -.002 | -.34 |
Gender | .07 | 1.00 | .04 | .63 | .11 | 1.55 |
Education | -.15 | −2.77∗∗ | .13 | 2.47∗ | -.08 | −1.41 |
Income | -.03 | -.75 | .09 | 2.74∗∗ | .01 | .38 |
Efficacy | -.17 | −4.20∗∗∗ | .03 | .81 | -.18 | −4.13∗∗∗ |
International social media use | -.93 | −6.50∗∗∗ | .48 | 3.68∗∗∗ | -.53 | −3.39∗∗∗ |
NFC | -.44 | −6.16∗∗∗ | .16 | 2.41∗ | -.88 | −6.61∗∗∗ |
International social media use x NFC | .21 | 5.56∗∗∗ | -.07 | −2.05∗ | .12 | 2.82∗∗ |
Media skepticism | −1.26 | −5.77∗∗∗ | ||||
Media skepticism x NFC | .26 | 4.16∗∗∗ | ||||
R2 | .29 | .42 | .43 | |||
F | 38.49∗∗∗ | 55.62∗∗∗ | 47.03∗∗∗ |
Note. Each column is regression model that predicts the criterion at the top of the column. Gender was dummy coded such that 0 = female and 1 = male. ∗p < .05. ∗∗p < .01. ∗∗∗p < .001.