Table 1. Logistic Regression Model of Participation in the WMF/UNU-MERIT Survey.
Model 1 | |
(Intercept) | −11.02* |
(0.30) | |
age | −0.04* |
(0.00) | |
female | −0.31* |
(0.10) | |
married | 0.12 |
(0.12) | |
children | −0.30* |
(0.11) | |
immigrant | 0.16 |
(0.16) | |
student | −0.07 |
(0.14) | |
education | 1.39* |
(0.28) | |
education | 1.08* |
(0.27) | |
education | 1.45* |
(0.29) | |
7771 | |
AIC | 20.19 |
BIC | 298.52 |
29.90 |
Standard errors in parentheses.
indicates significance at .
Weighted logistic regression model estimating the likelihood of a US adult Wikipedia reader responding to the WMF/UNU-MERIT survey along a set of covariates shared between the WMF/UNU-MERIT and Pew surveys. age is given in years and all other variables are dummy variables. Note that education is given a series of dummies with “less than high school diploma” as the omitted category.