Literature DB >> 31853158

A Blocked-CAT Procedure for CD-CAT.

Mehmet Kaplan1, Jimmy de la Torre2.   

Abstract

This article introduces a blocked-design procedure for cognitive diagnosis computerized adaptive testing (CD-CAT), which allows examinees to review items and change their answers during test administration. Four blocking versions of the new procedure were proposed. In addition, the impact of several factors, namely, item quality, generating model, block size, and test length, on the classification rates was investigated. Three popular item selection indices in CD-CAT were used and their efficiency compared using the new procedure. An additional study was carried out to examine the potential benefit of item review. The results showed that the new procedure is promising in that allowing item review resulted only in a small loss in attribute classification accuracy under some conditions. Moreover, using a blocked-design CD-CAT is beneficial to the extent that it alleviates the negative impact of test anxiety on examinees' true performance.
© The Author(s) 2019.

Entities:  

Keywords:  CD-CAT; block design; item review

Year:  2019        PMID: 31853158      PMCID: PMC6906391          DOI: 10.1177/0146621619835500

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  5 in total

1.  Measurement of psychological disorders using cognitive diagnosis models.

Authors:  Jonathan L Templin; Robert A Henson
Journal:  Psychol Methods       Date:  2006-09

2.  A general diagnostic model applied to language testing data.

Authors:  Matthias von Davier
Journal:  Br J Math Stat Psychol       Date:  2007-03-22       Impact factor: 3.380

3.  New Item Selection Methods for Cognitive Diagnosis Computerized Adaptive Testing.

Authors:  Mehmet Kaplan; Jimmy de la Torre; Juan Ramón Barrada
Journal:  Appl Psychol Meas       Date:  2014-11-13

4.  On-the-Fly Assembled Multistage Adaptive Testing.

Authors:  Yi Zheng; Hua-Hua Chang
Journal:  Appl Psychol Meas       Date:  2014-09-05

5.  On initial item selection in cognitive diagnostic computerized adaptive testing.

Authors:  Gongjun Xu; Chun Wang; Zhuoran Shang
Journal:  Br J Math Stat Psychol       Date:  2016-11       Impact factor: 3.380

  5 in total

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