A psychometric view of technology-based assessments

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Gloria Liou, Cavan V. Bonner, L. Tay
{"title":"A psychometric view of technology-based assessments","authors":"Gloria Liou, Cavan V. Bonner, L. Tay","doi":"10.1080/15305058.2022.2070757","DOIUrl":null,"url":null,"abstract":"Abstract With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are appropriate. We focus on three technological advances—the use of organic data for psychological assessments, the application of machine learning algorithms, and adaptive and gamified assessments—and review how the concepts of validity, reliability, and measurement bias may apply in particular ways within those areas. This provides direction for researchers and practitioners to advance the rigor of technology-based assessments from a psychometric perspective.","PeriodicalId":46615,"journal":{"name":"International Journal of Testing","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15305058.2022.2070757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are appropriate. We focus on three technological advances—the use of organic data for psychological assessments, the application of machine learning algorithms, and adaptive and gamified assessments—and review how the concepts of validity, reliability, and measurement bias may apply in particular ways within those areas. This provides direction for researchers and practitioners to advance the rigor of technology-based assessments from a psychometric perspective.
基于技术的评估的心理测量学观点
随着大数据的出现和技术的进步,心理评估变得越来越精密和复杂。然而,关于这些评估的效度、信度和测量偏差的传统心理测量学问题仍然是决定人类属性的得分推断是否适当的基础。我们将重点关注三个技术进步——使用有机数据进行心理评估,机器学习算法的应用,以及自适应和游戏化评估——并回顾有效性、可靠性和测量偏差的概念如何在这些领域以特定的方式应用。这为研究人员和从业人员从心理测量学的角度提高基于技术的评估的严谨性提供了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信