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Cited by 161

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Modeling Agreement among Raters

Tanner, Martin A., Young, Michael A.·1985·Journal of the American Statistical Association

Abstract

An approach to the modeling of agreement among raters is proposed. By examining a hierarchy of log-linear models, it is shown how one can analyze the agreement among the raters in a manner analogous to the analysis of association in a contingency table. Specific attention is given to the problems of the K-rater agreement and the agreement between several observers and a standard. Examples are used to illustrate how this approach provides a general framework for modeling agreement in a variety of problem situations.

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Crossref · 10.1080/01621459.1985.10477157

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Metadata

Authors
Tanner, M. A., & Young, M. A.
Venue
Journal of the American Statistical Association
Published
1985-03
Volume
80
Issue
389
Pages
175-180
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W1984157647
Cited by
161
References
3
FWCI
6.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling Agreement among Raters. https://app.cochat.ai/papers/10.1080/01621459.1985.10477157
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Tanner, M. A., & Young, M. A. (1985). Modeling Agreement among Raters. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1985.10477157

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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.