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. Author manuscript; available in PMC: 2018 Jul 12.
Published in final edited form as: Polit Res Q. 2014 Dec 23;68(1):104–116. doi: 10.1177/1065912914563548

Table 1.

Logistic Regression Predicting Turnout in Presidential Elections with SRHS using the GSS 1972–2010 (N=19,807)

Model 1
Model 2
Δ probability min to max Δ probability min to max
SRHS .17***
(.03)		 12% .19***
(.04)		 13%
Age (centered at 46) .04***
(.002)		 54% .03***
(.004)		 40%
Age* Self-Rated Health .01***
(.002)		 29%
High School Degree .96***
(.07)		 21% .94***
(.07)		 20%
Some College 1.35***
(.18)		 22% 1.33***
(.18)		 22%
College Degree or Higher 1.91***
(.09)		 32% 1.90***
(.89)		 31%
Female .03
(.05)		 1% .03
(.04)		 1%
Black −.28**
(.09)		 −6% −.28**
(.09)		 −6%
Other −1.04***
(.13)		 −25% −1.05***
(.13)		 −25%
Married .44***
(.05)		 10% .41***
(.05)		 9%
Strong Partisan .92***
(.08)		 18% .93***
(.08)		 18%
Religious Attendance .10***
(.01)		 17% .10***
(.01)		 17%
Newspaper Readership .19***
(.02)		 17% .19***
(.02)		 17%
Year −.03**
(.01)		 −14% −.03**
(.01)		 −15%
Year-squared .001*
(.001)		 13% .001*
(.001)		 12%
Constant −1.75***
(.13)		 −1.71***
(.13)

Note: Standard Errors in parentheses. Significance levels:

***

p<0.01,

**

p<0.05,

*

p<0.1 with a two-tailed test.

Age is mean centered. Weights are employed to account for the complex survey design.