Utilizing Real-Time Test Data to Solve Attenuation Paradox in Computerized Adaptive Testing to Enhance Optimal Design

作     者：Chen, Jyun-Hong Chao, Hsiu-Yi 

作者机构：National Cheng Kung University Taiwan Soochow University China 

出 版 物：《Journal of Educational and Behavioral Statistics》 (J. Educ. Behav. Stat.)

年 卷 期：2024年第49卷第4期

页      面：630-657页

学科分类：0303[法学-社会学] 0402[教育学-心理学(可授教育学、理学学位）] 0401[教育学-教育学] 04[教育学] 

基　　金：Ministry of Science and Technology, Taiwan, MOST, (109-2410-H-006-119) Ministry of Science and Technology, Taiwan, MOST 

主　　题：attenuation paradox computerized adaptive testing integer programming optimal design shadow test 

摘      要：To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test constraints to reversely assembled shadow tests for item selection to prevent the attenuation paradox by integer programming. A simulation study was conducted to thoroughly investigate IPRD performance. The results indicate that the IPRD method can efficiently improve CAT performance in terms of the precision of trait estimation and satisfaction of all required test constraints, especially for conditions with stringent exposure control. © 2023 The Author(s).