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Cited by 478

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

A One-Way Components of Variance Model for Categorical Data

Landis, J. Richard, Koch, Gary G.·1977·Biometrics

Abstract

A components of variance model for categorical data from unbalanced designs which is directly analogous to a one-way random effects ANO VA modelfor quantitative data is proposed. The variance components provide separate reliability measures for each of the response categories and disagreement measures between pairs of response categories in terms of (within subject) intraclass and interclass correlation coefficients. The estimation procedures involve usual MA NOVA calculations which can be expressed as compounded functions of the multinomial observations. Thus, the variances of these estimates can be obtainedfrom linearized Taylor series results. These procedures are illustrated with data from a psychiatric diagnosis study.

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Metadata

Authors
Landis, J. R., & Koch, G. G.
Venue
Biometrics
Publisher
JSTOR
Published
1977-12
Volume
33
Issue
4
Pages
671
ISSN
0006-341X (ISSN-L)
OpenAlex
W2333141530
Cited by
478
References
10
FWCI
6.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A One-Way Components of Variance Model for Categorical Data. https://app.cochat.ai/papers/10.2307/2529465
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Landis, J. R., & Koch, G. G. (1977). A One-Way Components of Variance Model for Categorical Data. Biometrics. https://doi.org/10.2307/2529465

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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.