Please wait a minute...
   2012, Vol. 20 Issue (4) : 616-626     DOI:
研究方法 |
Application of Computerized Adaptive Testing in Cognitive Diagnosis
TANG Xiao-Juan;DING Shu-Liang;YU Zong-Huo
(1School of Psychology, Jiangxi Normal University, Nanchang 330022, China)
(2College of Mathematics and Information Science, Nanchang Hangkong University, Nanchang 330063, China)
(3College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China)
(4Guanghua School of Management, Peking University 100871, China)
Download: PDF(287 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  Combining cognitive diagnosis with computerized adaptive testing, cognitive diagnostic computerized adaptive testing (CD-CAT) aims to more efficiently and more accurately diagnose examinees’ mastery status of a group of discretely defined skills, or attributes than paper & pencil tests. Because cognitive diagnosis involves in the concepts of attribute or knowledge state, CD-CAT is quite different from the ordinary CAT. In fact, the components of CD-CAT including the bank building, measurement model, starting rule, item selection strategy, stopping rule, and even the estimate method are very different from those of traditional CAT. In this paper, the researches and problems on these components of CD-CAT are discussed in details.
Keywords cognitive diagnosis      computerized adaptive testing      CD-CAT      attribute      knowledge state     
Corresponding Authors: DING Shu-Liang   
Issue Date: 15 April 2012
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
TANG Xiao-Juan
DING Shu-Liang
YU Zong-Huo
Cite this article:   
TANG Xiao-Juan,DING Shu-Liang,YU Zong-Huo. Application of Computerized Adaptive Testing in Cognitive Diagnosis[J]. , 2012, 20(4): 616-626.
URL:  
http://journal.psych.ac.cn/xlkxjz/EN/     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2012/V20/I4/616
[1] GAO Xuliang; TU Dongbo; WANG Fang; ZHANG Long; LI Xueying. The methods of computerized adaptive testing that allows changing answers[J]. Advances in Psychological Science, 2016, 24(4): 654-664.
[2] SUN Hong-Yue; JIANG Cheng-Ming. Is intertemporal choice alternative-based or attribute-based?[J]. Advances in Psychological Science, 2016, 24(3): 431-437.
[3] MAO Xiuzhen; XIN Tao. Multidimensional Computerized Adaptive Testing: Model, Techniques and Methods[J]. Advances in Psychological Science, 2015, 23(5): 907-918.
[4] LI Yu;DING Shuliang;TANG Xiaojuan. Maximizing the Potential of Multiple-choice Items for Cognitive Diagnosis[J]. Advances in Psychological Science, 2014, 22(5): 866-880.
[5] GUO Lei;YUAN Chunyong;BIAN Yufang. Discussing the Development Tendency of Cognitive Diagnosis from the Perspective of New Models[J]. Advances in Psychological Science, 2013, 21(12): 2256-2264.
[6] CHEN Ping;ZHANG Jiahui;XIN Tao. Application of Online Calibration Technique in Computerized Adaptive Testing[J]. Advances in Psychological Science, 2013, 21(10): 1883-1892.
[7] WEN Gui-Chan;XU Fu-Ming;YU Hui-Hui;HUANG Bao-Zhen;WANG Lan. The Psychological Mechanism and Influential Factors of Attribute Framing Effect[J]. , 2011, 19(12): 1822-1833.
[8] MAO Xiu-Zhen;XIN Tao. Item Selection Method in Computerized Adaptive Testing[J]. , 2011, 19(10): 1552-1562.
[9] CHEN Qiu-Mei; ZHANG Min-Qiang. Development of Cognitive Diagnosis Models and Their Application Methods[J]. , 2010, 18(03): 522-529.
[10] Li Ai-Mei;Tan Qing-Fang. The Influences of Mood Proxy Variables to Investor Decision-making[J]. , 2009, 17(01): 44-50.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
Copyright © Advances in Psychological Science
Support by Beijing Magtech