Using Automatic Item Generation to Simultaneously Construct German and English Versions of a Word Fluency Test

Author:

Arendasy Martin E.1,Sommer Markus1,Mayr Friedrich2

Affiliation:

1. Department of Psychological Methods and Computer-Based Modeling, Institute of Psychology, University of Graz, Austria

2. SCHUHFRIED GmbH, Mödling, Austria

Abstract

There has been an increased interest in psychometric tests that enable the comparison of test scores across different language versions. From a psychometric point of view, this endeavor requires empirical evidence on the full score equivalence of these measures. However, this aim is often rather difficult to achieve. This is particularly true for the assessment of verbal abilities. In the present article, we will outline how automatic item generation can be used to overcome some of the problems researchers face in constructing psychometric tests that are valid in multilingual assessment settings. The feasibility of this approach is illustrated in the context of the construction and empirical evaluation of a German and English word fluency test. The results of the various studies reported in this article indicate that automatic item generation enables the generation of a sufficient amount of word fluency items exhibiting a high psychometric quality in both languages. Furthermore, the item pool constructed for both languages can be linked to each other using a common set of anchor items that are identical to each other with regard to their conceptual, linguistic, and psychometric characteristics, thereby facilitating cross-lingual comparisons of word fluency performance.

Publisher

SAGE Publications

Subject

Anthropology,Cultural Studies,Social Psychology

Cited by 16 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

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