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Cited by 621

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

An Integrated Model of Women's Representation

Schwindt-Bayer, Leslie A., Mishler, William·2005·The Journal of Politics

Abstract

The concept of representation, as developed in Hanna Pitkin's seminal work, is a complex structure, whose multiple dimensions are hypothesized to be closely interconnected. Most empirical work, however, ignores the integrated character of representation and examines its several dimensions in isolation. The picture of representation that results is not so much incorrect as incomplete. This research tests an integrated model of representation linking formal, descriptive, substantive, and symbolic representation. Data on the representation of women in 31 democracies confirms the interconnections among the several dimensions of representation. The structure of electoral systems exerts powerful influences on both women's descriptive representation and symbolic representation. Descriptive representation, in turn, increases legislatures’ responsiveness to women's policy concerns and enhances perceptions of legitimacy. The effects of substantive representation, however, are much less than theory anticipates.

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Metadata

Authors
Schwindt-Bayer, L. A., & Mishler, W.
Venue
The Journal of Politics
Published
2005-05
Volume
67
Issue
2
Pages
407-428
ISSN
  • 0022-3816 (ISSN-L)
  • 1468-2508
OpenAlex
W2114001415
Cited by
621
References
50
FWCI
16.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Integrated Model of Women's Representation. https://app.cochat.ai/papers/10.1111/j.1468-2508.2005.00323.x
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Schwindt-Bayer, L. A., & Mishler, W. (2005). An Integrated Model of Women's Representation. The Journal of Politics. https://doi.org/10.1111/j.1468-2508.2005.00323.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.