Table 2.
95% CI
|
|||||
---|---|---|---|---|---|
Predictor |
R2 Change |
b | SE b | Lower Bound |
Upper Bound |
Step 1 | .14*** | ||||
Agea | −0.42*** | 0.11 | −0.63 | −0.21 | |
Genderb | 2.18* | 1.10 | 0.03 | 4.33 | |
GPA | 0.23 | 0.74 | −1.23 | 1.68 | |
Ethnicity | −2.20 | 1.38 | −4.91 | 0.52 | |
Caucasian | 2.29 | 2.02 | −1.70 | 6.28 | |
Asian American | 0.61 | 2.29 | −3.91 | 5.13 | |
Black/African American | 1.19 | 2.69 | −4.12 | 6.49 | |
| |||||
Step 2 | .18** | ||||
eHealth Literacyd | .30** | .10 | 0.09 | 0.50 | |
| |||||
Total R2 | .18** | ||||
Adjusted R2 | .14** |
Age (centered at the mean).
Gender (0 = male, 1 = female).
Intensity of Instagram use (centered at the mean).
eHealth literacy (centered at the mean)
p < .05.
p < .01.
p < .001