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Dynamic Modeling of Cohort Change: The Case of Political Partisanship

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Abstract

This article describes an alternative to typical cohort analysis procedures for modeling developmental processes using cohort data. The alternative strategy, a dynamic modeling approach, is illustrated by an analysis of trends in the strength of partisan identification in the United States 1952–1978. The proposed model accounts for observed Variation in partisan strength by age and cohort without any need to include those variables in the model itself.

Keywords

  • Period Effect
  • Cohort Effect
  • Cohort Analysis
  • American Sociological Review
  • American Political Science Review

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Markus, G.B. (1985). Dynamic Modeling of Cohort Change: The Case of Political Partisanship. In: Mason, W.M., Fienberg, S.E. (eds) Cohort Analysis in Social Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8536-3_8

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  • DOI: https://doi.org/10.1007/978-1-4613-8536-3_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-8538-7

  • Online ISBN: 978-1-4613-8536-3

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