Utilizing Response Time for Item Selection in On‐the‐Fly Multistage Adaptive Testing for PISA Assessment

IF 1.4 4区 心理学 Q3 PSYCHOLOGY, APPLIED
Xiuxiu Tang, Yi Zheng, Tong Wu, K. Hau, H. Chang
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引用次数: 0

Abstract

Multistage adaptive testing (MST) has been recently adopted for international large‐scale assessments such as Programme for International Student Assessment (PISA). MST offers improved measurement efficiency over traditional nonadaptive tests and improved practical convenience over single‐item‐adaptive computerized adaptive testing (CAT). As a third alternative adaptive test design to MST and CAT, Zheng and Chang proposed the “on‐the‐fly multistage adaptive testing” (OMST), which combines the benefits of MST and CAT and offsets their limitations. In this study, we adopted the OMST design while also incorporating response time (RT) in item selection. Via simulations emulating the PISA 2018 reading test, including using the real item attributes and replicating PISA 2018 reading test's MST design, we compared the performance of our OMST designs against the simulated MST design in (1) measurement accuracy of test takers’ ability, (2) test time efficiency and consistency, and (3) expected gains in precision by design. We also investigated the performance of OMST in item bank usage and constraints management. Results show great potential for the proposed RT‐incorporated OMST designs to be used for PISA and potentially other international large‐scale assessments.
在 PISA 评估的即时多阶段自适应测试中利用反应时间进行项目选择
多阶段自适应测试(MST)最近已被国际学生评估项目(PISA)等国际大规模评估所采用。与传统的非自适应测试相比,多阶段自适应测试提高了测量效率,与单项自适应计算机化自适应测试(CAT)相比,多阶段自适应测试更方便实用。作为 MST 和 CAT 之外的第三种自适应测试设计,Zheng 和 Chang 提出了 "即时多阶段自适应测试"(OMST),它结合了 MST 和 CAT 的优点,并弥补了它们的局限性。在本研究中,我们采用了 OMST 设计,同时将反应时间(RT)纳入项目选择。通过模拟 PISA 2018 阅读测试,包括使用真实的项目属性和复制 PISA 2018 阅读测试的 MST 设计,我们比较了 OMST 设计与模拟 MST 设计在以下方面的表现:(1)考生能力的测量准确性;(2)测试时间效率和一致性;(3)设计的预期精度收益。我们还研究了 OMST 在项目库使用和约束管理方面的性能。结果表明,所提出的包含 RT 的 OMST 设计在国际学生评估项目(PISA)和其他潜在的国际大规模评估中具有很大的应用潜力。
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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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