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Measuring Representation: Perils of the Correlation Coefficient

Achen, Christopher H.·1977·American Journal of Political Science

Abstract

Most empirical research on representation has used correlational measures. The larger the correlation between representatives' and constituents' views, the stronger the bonds between them are thought to be. Unfortunately, correlations incorporate not only the strength of a relationship, but also the diversity of the sampled constituencies. When constituencies are very different from each other on an issue dimension, large correlations will result even when voters are not particularly sensitive to that dimension. Large correlations can occur when representatives are distant from their constituents; small correlations can happen when they are near. Correlations should be abandoned in the study of representation.

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Metadata

Authors
Achen, C. H.
Venue
American Journal of Political Science
Publisher
JSTOR
Published
1977-11
Volume
21
Issue
4
Pages
805
ISSN
0092-5853 (ISSN-L)
OpenAlex
W2323383658
Cited by
358
References
0
FWCI
59.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measuring Representation: Perils of the Correlation Coefficient. https://app.cochat.ai/papers/10.2307/2110737
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Achen, C. H. (1977). Measuring Representation: Perils of the Correlation Coefficient. American Journal of Political Science. https://doi.org/10.2307/2110737

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