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.