Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing

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Bibliographic Details
Title: Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing
Language: English
Authors: Kylie Gorney (ORCID 0000-0002-8924-0726), Mark D. Reckase
Source: Journal of Educational Measurement. 2025 62(2):360-379.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 20
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks, Item Response Theory, Evaluation Methods, Test Use, Measurement, Accuracy
DOI: 10.1111/jedm.12436
ISSN: 0022-0655
1745-3984
Abstract: In computerized adaptive testing, item exposure control methods are often used to provide a more balanced usage of the item pool. Many of the most popular methods, including the restricted method (Revuelta and Ponsoda), use a single maximum exposure rate to limit the proportion of times that each item is administered. However, Barrada et al. showed that by using multiple maximum exposure rates, it is possible to obtain an even more balanced usage of the item pool. Therefore, in this paper, we develop four extensions of the restricted method that involve the use of multiple maximum exposure rates. A detailed simulation study reveals that (a) all four of the new methods improve item pool utilization and (b) three of the new methods also improve measurement accuracy. Taken together, these results are highly encouraging, as they reveal that it is possible to improve both types of outcomes simultaneously.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1475940
Database: ERIC
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Description
Abstract:In computerized adaptive testing, item exposure control methods are often used to provide a more balanced usage of the item pool. Many of the most popular methods, including the restricted method (Revuelta and Ponsoda), use a single maximum exposure rate to limit the proportion of times that each item is administered. However, Barrada et al. showed that by using multiple maximum exposure rates, it is possible to obtain an even more balanced usage of the item pool. Therefore, in this paper, we develop four extensions of the restricted method that involve the use of multiple maximum exposure rates. A detailed simulation study reveals that (a) all four of the new methods improve item pool utilization and (b) three of the new methods also improve measurement accuracy. Taken together, these results are highly encouraging, as they reveal that it is possible to improve both types of outcomes simultaneously.
ISSN:0022-0655
1745-3984
DOI:10.1111/jedm.12436