Evidence map›Paper›PMID 40959735›Full record

ArticleEducational and psychological measurement2026

Using Item Scores and Response Times to Detect Item Compromise in Computerized Adaptive Testing.

Chansoon Lee, Kylie Gorney, Jianshen Chen

Abstract read
In one paragraph

Article in Educational and psychological measurement, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chansoon LeeAmerican Board of Internal Medicine, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-3669-3019
Kylie GorneyMichigan State University, East Lansing, MI, USA.ORCID https://orcid.org/0000-0002-8924-0726
Jianshen ChenCollege Board, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequential procedures have been shown to be effective methods for real-time detection of compromised items in computerized adaptive testing. In this study, we propose three item response theory-based sequential procedures that involve the use of item scores and response times (RTs). The first procedure requires that either the score-based statistic or the RT-based statistic be extreme, the second procedure requires that both the score-based statistic and the RT-based statistic be extreme, and the third procedure requires that a combined score and RT-based statistic be extreme. Results suggest that the third procedure is the most promising, providing a reasonable balance between the false-positive rate and the true-positive rate while also producing relatively short lag times across a wide range of simulation conditions.

Indexed as

computerized adaptive testingitem compromiseitem response theoryresponse timetest security

Identifiers

PMID40959735
PMCPMC12433998

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.