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Cited by 255

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Logit Models for Sets of Ranked Items

Allison, Paul D., Christakis, Nicholas A.·1994·Sociological Methodology

Abstract

Methods are presented for analyzing data generated by asking respondents to rank a set of items. Based on a conditional logit model, these methods allow us to estimate and test for differences among items in respondents' preferences for them; to test for differences in item preferences across subpopulations; and to incorporate predictor variables describing respondents, items, or both. The models can be easily estimated with programs for proportional hazards models, and they can be generalized to allow for ties in the rankings. Detailed examples are given.

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Metadata

Authors
Allison, P. D., & Christakis, N. A.
Venue
Sociological Methodology
Publisher
JSTOR
Published
1994
Volume
24
Pages
199
ISSN
0081-1750 (ISSN-L)
OpenAlex
W2042677511
Cited by
255
References
27
FWCI
1.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Logit Models for Sets of Ranked Items. https://app.cochat.ai/papers/10.2307/270983
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Allison, P. D., & Christakis, N. A. (1994). Logit Models for Sets of Ranked Items. Sociological Methodology. https://doi.org/10.2307/270983

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