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Cited by 630

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Item Clusters and Computerized Adaptive Testing: A Case for Testlets

Wainer, Howard, Kiely, Gerard L.·1987·Journal of Educational Measurement

Abstract

It is observed that many sorts of difficulties may preclude the uneventful construction of tests by a computerized algorithm, such as those currently in favor in Computerized Adaptive Testing (CAT). In this essay we discuss a number of these problems, as well as some possible avenues of solution. We conclude with the development of the “testlet,” a bundle of items that can be arranged either hierarchically or linearly, thus maintaining the efficiency of an adaptive test while keeping the quality control of test construction that is possible currently only with careful expert scrutiny. Performance on the separate testlets is aggregated to yield ability estimates.

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Crossref · 10.1111/j.1745-3984.1987.tb00274.x

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Metadata

Authors
Wainer, H., & Kiely, G. L.
Venue
Journal of Educational Measurement
Publisher
Wiley
Published
1987-09
Volume
24
Issue
3
Pages
185-201
ISSN
  • 0022-0655 (ISSN-L)
  • 1745-3984
OpenAlex
W2090212281
Cited by
630
References
15
FWCI
11.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Item Clusters and Computerized Adaptive Testing: A Case for Testlets. https://app.cochat.ai/papers/10.1111/j.1745-3984.1987.tb00274.x
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Wainer, H., & Kiely, G. L. (1987). Item Clusters and Computerized Adaptive Testing: A Case for Testlets. Journal of Educational Measurement. https://doi.org/10.1111/j.1745-3984.1987.tb00274.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.