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Gender Role Attitudes and Religiosity Across Generations and Decades: A Research Report on an Ongoing Project
Unformatted Document Text:  7 attitudes, for example, the effect of any one is a linear combination of the other two (Menard 1991; Harding and Jencks 2003), as expressed in the simple equation A = G + P Where A =Respondent’s age, measured as years since birth G = Generation, measured as series of birth cohorts P = Period, measured as the year in which the survey was conducted For the present analysis, and any longitudinal study of the effects of time, the problem with the linear dependence of age, generation, and period is that it creates collinearity among the predictors in regression analysis. In the current study, we think that generation and period provide theoretically sound explanations for changing cultural-political attitudes and values in the United States. Given the estimation problem, we include generation and period as predictors but exclude age in the analysis presented below. Sex and Education We control for both. Data and Method The goal of this study is to test for the reciprocal effects of cultural-political attitudes and religiosity while controlling for generation, period, sex, and education. For this we need a survey that meets four criteria. First, it must be longitudinal and ask the same (or nearly the same) questions about cultural-political attitudes and religiosity across multiple waves. While many longitudinal studies exist, few include questions about both across time. Second, the

Authors: Mulligan, Ken., Grant, Tobin. and Bryan, Jessica.
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attitudes, for example, the effect of any one is a linear combination of the other two (Menard
1991; Harding and Jencks 2003), as expressed in the simple equation
A = G + P
Where
A =Respondent’s age, measured as years since birth
G = Generation, measured as series of birth cohorts
P = Period, measured as the year in which the survey was conducted
For the present analysis, and any longitudinal study of the effects of time, the problem with
the linear dependence of age, generation, and period is that it creates collinearity among the
predictors in regression analysis. In the current study, we think that generation and period
provide theoretically sound explanations for changing cultural-political attitudes and values in
the United States. Given the estimation problem, we include generation and period as
predictors but exclude age in the analysis presented below.
Sex and Education
We control for both.
Data and Method
The goal of this study is to test for the reciprocal effects of cultural-political attitudes
and religiosity while controlling for generation, period, sex, and education. For this we need a
survey that meets four criteria. First, it must be longitudinal and ask the same (or nearly the
same) questions about cultural-political attitudes and religiosity across multiple waves. While
many longitudinal studies exist, few include questions about both across time. Second, the


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