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Cited by 240

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

BAYES MODAL ESTIMATION IN ITEM RESPONSE MODELS*

Mislevy, Robert J.·1985·ETS Research Report Series

Abstract

This article describes a Bayesian framework for estimation in item response models, with two‐stage prior distributions on both item and examinee populations. Strategies for point and interval estimation are discussed, and a general procedure based on the EM algorithm is presented. Details are given for implementation under one‐, two‐, and three‐parameter logistic IRT models. Novel features include minimally restrictive assumptions about examinee distributions and the exploitation of dependence among item parameters in a population of interest. Improved estimation in a moderately small sample is demonstrated with simulated data.

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Crossref · 10.1002/j.2330-8516.1985.tb00118.x

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Metadata

Authors
Mislevy, R. J.
Venue
ETS Research Report Series
Publisher
Wiley
Published
1985-12
Volume
1985
Issue
2
ISSN
2330-8516 (ISSN-L)
OpenAlex
W2049498800
Cited by
240
References
2
FWCI
5.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: BAYES MODAL ESTIMATION IN ITEM RESPONSE MODELS*. https://app.cochat.ai/papers/10.1002/j.2330-8516.1985.tb00118.x
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Mislevy, R. J. (1985). BAYES MODAL ESTIMATION IN ITEM RESPONSE MODELS*. ETS Research Report Series. https://doi.org/10.1002/j.2330-8516.1985.tb00118.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.