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Political Science, Biometric Theory, and Twin Studies: A Methodological Introduction

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  • Medland, Sarah E.
  • Hatemi, Peter K.

Abstract

As political scientists begin to incorporate biological influences as explanatory factors in political behavior, the need to present a methodological road map for utilizing biometric genetic theory and twin data is apparent. The classical twin design (CTD) remains the most popular design for initial examinations of the source of variance among social and political behaviors, and a vast majority of advanced variance components models as well as some molecular analyses are extensions of the CTD. Thus, it is appropriate to begin a series of works with the CTD and its most common variants. The CTD has strong roots in biometrical genetic theory and provides estimates of the correlations between observed traits of monozygotic and dizygotic twins in terms of underlying genetic and environmental influences. The majority of these analyses utilize SEMs of observed covariances for both twin types to assess the relative importance of these “latent†factors.

Suggested Citation

  • Medland, Sarah E. & Hatemi, Peter K., 2009. "Political Science, Biometric Theory, and Twin Studies: A Methodological Introduction," Political Analysis, Cambridge University Press, vol. 17(2), pages 191-214, April.
  • Handle: RePEc:cup:polals:v:17:y:2009:i:02:p:191-214_00
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    Cited by:

    1. Brad Verhulst & Ryne Estabrook, 2012. "Using genetic information to test causal relationships in cross-sectional data," Journal of Theoretical Politics, , vol. 24(3), pages 328-344, July.
    2. Neugart, Michael & Yildirim, Selen, 2022. "Heritability in friendship networks," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 41-55.
    3. Robert Klemmensen & Peter K Hatemi & Sara Binzer Hobolt & Inge Petersen & Axel Skytthe & Asbjørn S Nørgaard, 2012. "The genetics of political participation, civic duty, and political efficacy across cultures: Denmark and the United States," Journal of Theoretical Politics, , vol. 24(3), pages 409-427, July.
    4. Peter K. Hatemi & John R. Hibbing & Sarah E. Medland & Matthew C. Keller & John R. Alford & Kevin B. Smith & Nicholas G. Martin & Lindon J. Eaves, 2010. "Not by Twins Alone: Using the Extended Family Design to Investigate Genetic Influence on Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 798-814, July.
    5. Peter K Hatemi & Lindon Eaves & Rose McDermott, 2012. "It’s the end of ideology as we know it," Journal of Theoretical Politics, , vol. 24(3), pages 345-369, July.
    6. Michael Baker & Kevin Milligan, 2016. "Boy-Girl Differences in Parental Time Investments: Evidence from Three Countries," Journal of Human Capital, University of Chicago Press, vol. 10(4), pages 399-441.
    7. Sara Della Bella & Mario Lucchini, 2015. "Education and BMI: a genetic informed analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2577-2593, November.
    8. Peter K Hatemi & Enda Byrne & Rose McDermott, 2012. "Introduction: What is a ‘gene’ and why does it matter for political science?," Journal of Theoretical Politics, , vol. 24(3), pages 305-327, July.

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