Abstract

Objective. This study develops and tests an aggregate “vote shares” model of party alignments and realignments, building a theoretical framework around “structured political composition” (Rabinowitz, Gurian, and Macdonald, 1984, p. 6). The vote shares model conceptualizes party alignments as latent class constructs, or factors, and changes in these latent class constructs as party realignments. Methods. Confirmatory factor analysis (CFA) model with bias corrected bootstrap estimates and standard errors is used where the cases are counties and the variables are aggregate election outcomes. The data come from Kansas from 1900 to 2010. Results. Comparing the findings of the vote‐shares approach to those of Nardulli (2005) and Sundquist (1983) suggests that the vote shares model provides a greater depth of understanding and a more accurate portrait of the timing of realignments and the partisan bias of new alignments in Kansas. The vote shares model also overcomes the major problem of false positives associated with landslide elections, a problem that plagued most previous aggregate voting models. Conclusion. The vote‐shares model of party alignments and realignments provides a viable alternative for analyzing historic and current election returns where the votes are aggregated by a geographically defined government jurisdiction (parish, county, city, or district).

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