Creating a Test Information Profile for a Two-Dimensional Latent Space

Author:

Ackerman Terry A.1

Affiliation:

1. University of Illinois

Abstract

In some cognitive testing situations it is believed, despite reporting only a single score, that the test items differentiate levels of multiple traits. In such situa tions, the reported score may represent quite disparate composites of these multiple traits. Thus, when attempting to interpret a single score from a set of multidimensional items, several concerns naturally arise. First, it is important to know what composite of traits is being measured at all levels of the reported score scale. Second, it is also necessary to discern that all examinees, no matter where they lie in the latent trait space, are being measured on the same composite of traits. Thus, the role of multidimensionality in the interpretation or meaning given to various score levels must be examined. This paper presents a method for computing multidimensional information and provides examples of how different aspects of test information can be displayed graphically to form a profile of a test in a two-dimensional latent space. Index terms: information, item response theory, multidimensional item response theory, test information.

Publisher

SAGE Publications

Subject

Psychology (miscellaneous),Social Sciences (miscellaneous)

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Item Response Theory;International Encyclopedia of Education(Fourth Edition);2023

2. Two new termination rules for multidimensional computerized classification testing;Acta Psychologica Sinica;2021

3. Test Eşitlemede Çok Boyutluluğun Eş Zamanlı ve Ayrı Kalibrasyona Etkisi;Hacettepe University Journal of Education;2019-02-04

4. Estimating Optimal Weights for Compound Scores: A Multidimensional IRT Approach;Multivariate Behavioral Research;2018-11-02

5. A Review of Subscore Estimation Methods;ETS Research Report Series;2018-04-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3