Using Multiple Maximum Exposure Rates in Computerized Adaptive Testing

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, APPLIED
Kylie Gorney, Mark D. Reckase
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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.

Abstract Image

在计算机化自适应测试中使用多重最大暴露率
在计算机化的自适应测试中,项目暴露控制方法通常用于提供更平衡的项目池使用。许多最流行的方法,包括限制性方法(Revuelta和Ponsoda),使用单一的最大暴露率来限制每个项目的使用次数比例。然而,Barrada等人表明,通过使用多个最大曝光率,有可能获得更平衡的项目池使用。因此,在本文中,我们发展了涉及使用多个最大暴露率的限制方法的四种扩展。一项详细的模拟研究表明:(A)所有四种新方法都提高了项目池的利用率,(b)三种新方法也提高了测量精度。综上所述,这些结果非常令人鼓舞,因为它们表明,同时改善这两种结果是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
7.70%
发文量
46
期刊介绍: The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.
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