Literature DB >> 33304019

The Block Item Pocket Method for Reviewable Multidimensional Computerized Adaptive Testing.

Zhe Lin1, Ping Chen1, Tao Xin1.   

Abstract

Most computerized adaptive testing (CAT) programs do not allow item review due to a decrease in estimation precision and aberrant manipulation strategies. In this article, a block item pocket (BIP) method that combines the item pocket method with the successive block method to realize reviewable CAT was proposed. A worst-case but still reasonable answering strategy and the Wainer-like manipulation strategy were simulated to evaluate the estimation precision of reviewable unidimensional computerized adaptive testing (UCAT) and multidimensional computerized adaptive testing (MCAT) under a series of BIP settings. For both UCAT and MCAT, it was found that the estimation precision of the BIP method improved as the number of blocks increased or the item pocket size decreased under the reasonable strategy. The BIP method was more effective in handling the Wainer-like strategy. With the help of block design, the BIP method can still maintain acceptable estimation precision under slightly large total IP size conditions. These results suggested that the BIP method was a reliable solution for both reviewable UCAT and MCAT.
© The Author(s) 2020.

Entities:  

Keywords:  block item pocket; computerized adaptive testing; item review; reviewable CAT

Year:  2020        PMID: 33304019      PMCID: PMC7711249          DOI: 10.1177/0146621620947177

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


  7 in total

1.  Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory.

Authors:  Stephen M Haley; Pengsheng Ni; Larry H Ludlow; Maria A Fragala-Pinkham
Journal:  Arch Phys Med Rehabil       Date:  2006-09       Impact factor: 3.966

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Authors:  L M Harvill; G Davis
Journal:  Acad Med       Date:  1997-10       Impact factor: 6.893

3.  Statistical Foundations for Computerized Adaptive Testing with Response Revision.

Authors:  Shiyu Wang; Georgios Fellouris; Hua-Hua Chang
Journal:  Psychometrika       Date:  2019-02-25       Impact factor: 2.500

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

Review 5.  Psychometrics behind Computerized Adaptive Testing.

Authors:  Hua-Hua Chang
Journal:  Psychometrika       Date:  2014-02-06       Impact factor: 2.500

6.  Multidimensional Adaptive Testing with Optimal Design Criteria for Item Selection.

Authors:  Joris Mulder; Wim J van der Linden
Journal:  Psychometrika       Date:  2008-12-23       Impact factor: 2.500

7.  Answer changing: a meta-analysis of the prevalence and patterns.

Authors:  D L Waddell; J C Blankenship
Journal:  J Contin Educ Nurs       Date:  1994 Jul-Aug       Impact factor: 1.224

  7 in total

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