Table 2.
Regression models: Internet experiences and skills.
Frequent Internet use (N = 2901) |
Internet skills (N = 2897) |
Worrying about Internet access (N = 2901) |
||||
---|---|---|---|---|---|---|
b | SE | b | SE | b | SE | |
Intercept | 0.64 | 0.91 | 2.47 | 0.27 | 0.17 | 0.69 |
Time of data collection | 0.63∗∗∗ | 0.15 | −0.09∗ | 0.04 | −0.43∗∗∗ | 0.11 |
Sociodemographics | ||||||
Age | −0.01∗ | 0.01 | −0.01∗∗∗ | 0.00 | −0.02∗∗∗ | 0.00 |
Female | 0.05 | 0.15 | −0.34∗∗∗ | 0.04 | −0.31∗∗ | 0.11 |
Race and ethnicity | ||||||
African-American | −0.26 | 0.22 | 0.10 | 0.07 | −0.01 | 0.18 |
Hispanic | −0.30 | 0.21 | 0.02 | 0.06 | 0.54∗∗∗ | 0.14 |
Asian | −0.41 | 0.34 | −0.06 | 0.09 | 0.20 | 0.24 |
Native American | −0.90∗ | 0.41 | 0.04 | 0.15 | −0.18 | 0.45 |
Education | ||||||
Some college | 0.02 | 0.19 | 0.24∗∗∗ | 0.06 | 0.18 | 0.15 |
Bachelor's degree or more | 0.28 | 0.20 | 0.37∗∗∗ | 0.05 | 0.37∗∗ | 0.14 |
Household income (log) | 0.24∗∗ | 0.09 | 0.11∗∗∗ | 0.03 | −0.12 | 0.07 |
Employed | −0.11 | 0.17 | 0.23∗∗∗ | 0.05 | −0.04 | 0.12 |
Metropolitan status | ||||||
Rural | −0.54∗∗ | 0.19 | −0.11 | 0.06 | 0.22 | 0.16 |
Suburban | −0.32 | 0.17 | 0.09∗ | 0.05 | 0.13 | 0.12 |
Living arrangements and in-person experiences | ||||||
Living alone | −0.33 | 0.18 | 0.16∗∗ | 0.05 | −0.25 | 0.16 |
Child(ren) in household | 0.01 | 0.19 | 0.10∗ | 0.05 | 0.14 | 0.13 |
Going out for any social activity | −0.04 | 0.18 | 0.02 | 0.05 | 0.50∗∗∗ | 0.12 |
Adjusted R2 | 0.14 | |||||
Nagelkerke R2 | 0.05 | 0.07 |
Note. b = unstandardized (logistic) regression coefficient; SE = standard error. The reference category for race and ethnicity is “White”, for education level “High school or less”, and for metropolitan status “Urban”. ∗p < .05. ∗∗p < .01. ∗∗∗p < .001.