Literature DB >> 35601264

Computerized Adaptive Testing for Ipsative Tests with Multidimensional Pairwise-Comparison Items: Algorithm Development and Applications.

Xue-Lan Qiu1, Jimmy de la Torre1, Sage Ro2, Wen-Chung Wang3.   

Abstract

A computerized adaptive testing (CAT) solution for tests with multidimensional pairwise-comparison (MPC) items, aiming to measure career interest, value, and personality, is rare. This paper proposes new item selection and exposure control methods for CAT with dichotomous and polytomous MPC items and present simulation study results. The results show that the procedures are effective in selecting items and controlling within-person statement exposure with no loss of efficiency. Implications are discussed in two applications of the proposed CAT procedures: a work attitude test with dichotomous MPC items and a career interest assessment with polytomous MPC items.
© The Author(s) 2022.

Entities:  

Keywords:  computerized adaptive testing; forced-choice items; ipsative tests; pairwise-comparison

Year:  2022        PMID: 35601264      PMCID: PMC9118927          DOI: 10.1177/01466216221084209

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


  7 in total

1.  Traditional scores versus IRT estimates on forced-choice tests based on a dominance model.

Authors:  Pedro M Hontangas; Iwin Leenen; Jimmy de la Torre; Vicente Ponsoda; Daniel Morillo; Francisco J Abad
Journal:  Psicothema       Date:  2016

2.  Comparing Traditional and IRT Scoring of Forced-Choice Tests.

Authors:  Pedro M Hontangas; Jimmy de la Torre; Vicente Ponsoda; Iwin Leenen; Daniel Morillo; Francisco J Abad
Journal:  Appl Psychol Meas       Date:  2015-05-19

3.  Item Response Models for Forced-Choice Questionnaires: A Common Framework.

Authors:  Anna Brown
Journal:  Psychometrika       Date:  2014-12-10       Impact factor: 2.500

4.  Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring.

Authors:  Seang-Hwane Joo; Philseok Lee; Stephen Stark
Journal:  Behav Res Methods       Date:  2020-04

5.  A Dominance Variant Under the Multi-Unidimensional Pairwise-Preference Framework: Model Formulation and Markov Chain Monte Carlo Estimation.

Authors:  Daniel Morillo; Iwin Leenen; Francisco J Abad; Pedro Hontangas; Jimmy de la Torre; Vicente Ponsoda
Journal:  Appl Psychol Meas       Date:  2016-08-20

6.  Item Response Theory Models for Ipsative Tests With Multidimensional Pairwise Comparison Items.

Authors:  Wen-Chung Wang; Xue-Lan Qiu; Chia-Wen Chen; Sage Ro; Kuan-Yu Jin
Journal:  Appl Psychol Meas       Date:  2017-04-09

7.  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 in total

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