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Cited by 386

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Construct‐Irrelevant Variance in High‐Stakes Testing

Haladyna, Thomas M., Downing, Steven M.·2004·Educational Measurement: Issues and Practice
DOI 10.1111/j.1745-3992.2004.tb00149.x
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Abstract

There are many threats to validity in high‐stakes achievement testing. One major threat is construct‐irrelevant variance (CIV). This article defines CIV in the context of the contemporary, unitary view of validity and presents logical arguments, hypotheses, and documentation for a variety of CIV sources that commonly threaten interpretations of test scores. A more thorough study of CIV is recommended.

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Metadata

Authors
Haladyna, T. M., & Downing, S. M.
Venue
Educational Measurement: Issues and Practice
Publisher
Wiley
Published
2004-03
Volume
23
Issue
1
Pages
17-27
ISSN
  • 0731-1745 (ISSN-L)
  • 1745-3992
DOI
10.1111/j.1745-3992.2004.tb00149.x
OpenAlex
W2110306959
Cited by
386
References
49
FWCI
14.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Construct‐Irrelevant Variance in High‐Stakes Testing. https://app.cochat.ai/papers/10.1111/j.1745-3992.2004.tb00149.x
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Haladyna, T. M., & Downing, S. M. (2004). Construct‐Irrelevant Variance in High‐Stakes Testing. Educational Measurement: Issues and Practice. https://doi.org/10.1111/j.1745-3992.2004.tb00149.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.