OLS is AOK for ACE: A Regression-Based Approach to Synthesizing Political Science and Behavioral Genetics Models

OLS is AOK for ACE: A Regression-Based Approach to Synthesizing Political Science and Behavioral... There is a growing interest in empirically exploring the biological underpinnings of political attitudes and behavior. Heritability studies are a primary vehicle for conducting such investigations and data sets rich in political phenotypes are becoming broadly accessible. A bottleneck exists, however, in exploiting these opportunities because they involve a statistical re-tooling for political scientists and require a conceptual shift that has substantial implications for the field’s traditional theoretical models. Methodologically, most twin studies rely on structural equation models unfamiliar to political scientists. We show this methodological bottleneck is easily navigable; it is the lesser discussed shift in theoretical assumptions poses the larger problem to integrating biological elements into the study of political attitudes and behavior. To address these issues we provide a detailed introduction to a regression-based method for analyzing genetic influence on political attitudes and behaviors that will be methodologically intuitive to political scientists with even minimum quantitative training. In doing so, we provide a platform for bridging important conceptual divides between political science and behavioral genetics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Political Behavior Springer Journals

OLS is AOK for ACE: A Regression-Based Approach to Synthesizing Political Science and Behavioral Genetics Models

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Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer Science+Business Media, LLC
Subject
Social Sciences, general; Political Science, general; Sociology, general
ISSN
0190-9320
eISSN
1573-6687
D.O.I.
10.1007/s11109-012-9192-2
Publisher site
See Article on Publisher Site

Abstract

There is a growing interest in empirically exploring the biological underpinnings of political attitudes and behavior. Heritability studies are a primary vehicle for conducting such investigations and data sets rich in political phenotypes are becoming broadly accessible. A bottleneck exists, however, in exploiting these opportunities because they involve a statistical re-tooling for political scientists and require a conceptual shift that has substantial implications for the field’s traditional theoretical models. Methodologically, most twin studies rely on structural equation models unfamiliar to political scientists. We show this methodological bottleneck is easily navigable; it is the lesser discussed shift in theoretical assumptions poses the larger problem to integrating biological elements into the study of political attitudes and behavior. To address these issues we provide a detailed introduction to a regression-based method for analyzing genetic influence on political attitudes and behaviors that will be methodologically intuitive to political scientists with even minimum quantitative training. In doing so, we provide a platform for bridging important conceptual divides between political science and behavioral genetics.

Journal

Political BehaviorSpringer Journals

Published: Feb 8, 2012

References

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