多维成对比较项目的互异性测试的计算机自适应测试:算法开发和应用。

IF 1 4区心理学 Q4 PSYCHOLOGY, MATHEMATICAL

Applied Psychological Measurement Pub Date : 2022-06-01 DOI:10.1177/01466216221084209

Xue-Lan Qiu, Jimmy de la Torre, Sage Ro, Wen-Chung Wang

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引用次数: 0

摘要

一个计算机化的自适应测试(CAT)解决方案与多维两两比较(MPC)项目的测试，旨在衡量职业兴趣，价值和个性，是罕见的。本文提出了基于二分和多分MPC题项的CAT题项选择和暴露控制新方法，并给出了仿真研究结果。结果表明，该程序在选择项目和控制内部陈述曝光方面是有效的，且没有损失效率。本研究讨论了两种CAT程序的应用:工作态度测验和职业兴趣测验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

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.

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来源期刊

Applied Psychological Measurement Multiple-

CiteScore

2.30

自引率

8.30%

发文量

期刊介绍： Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.