Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing

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.

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Publication Details

Journal
Journal of Educational Measurement
Published
2025-04-16
DOI
https://doi.org/10.1111/jedm.12436
Primary Topic
Psychometric Methodologies and Testing
Type
article
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article

Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing

Kylie Gorney, Mark D. Reckase
Journal of Educational Measurement
Psychometric Methodologies and Testing
article

Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing

Kylie Gorney, Mark D. Reckase
article en

Abstract

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.

Journal of Educational Measurement
Michigan State University (US)
Openalex Percentile: Top 91%
Psychometric Methodologies and Testing
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Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing — Kylie Gorney, Mark D. Reckase · Journal of Educational Measurement (2025) | TGRS Research Map | TGRS