Item Response Theory True Score Equating for the Bifactor Model Under the Common-Item Nonequivalent Groups Design.

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL Applied Psychological Measurement Pub Date : 2022-09-01 Epub Date: 2022-06-17 DOI:10.1177/01466216221108995
Kyung Yong Kim
{"title":"Item Response Theory True Score Equating for the Bifactor Model Under the Common-Item Nonequivalent Groups Design.","authors":"Kyung Yong Kim","doi":"10.1177/01466216221108995","DOIUrl":null,"url":null,"abstract":"<p><p>Applying item response theory (IRT) true score equating to multidimensional IRT models is not straightforward due to the one-to-many relationship between a true score and latent variables. Under the common-item nonequivalent groups design, the purpose of the current study was to introduce two IRT true score equating procedures that adopted different dimension reduction strategies for the bifactor model. The first procedure, which was referred to as the integration procedure, linked the latent variable scales for the bifactor model and integrated out the specific factors from the item response function of the bifactor model. Then, IRT true score equating was applied to the marginalized bifactor model. The second procedure, which was referred to as the PIRT-based procedure, projected the specific dimensions onto the general dimension to obtain a locally dependent unidimensional IRT (UIRT) model and linked the scales of the UIRT model, followed by the application of IRT true score equating to the locally dependent UIRT model. Equating results obtained with the two equating procedures along with those obtained with the unidimensional three-parameter logistic (3PL) model were compared using both simulated and real data. In general, the integration and PIRT-based procedures provided equating results that were not practically different. Furthermore, the equating results produced by the two bifactor-based procedures became more accurate than the results returned by the 3PL model as tests became more multidimensional.</p>","PeriodicalId":48300,"journal":{"name":"Applied Psychological Measurement","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382090/pdf/10.1177_01466216221108995.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Psychological Measurement","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/01466216221108995","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/6/17 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PSYCHOLOGY, MATHEMATICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Applying item response theory (IRT) true score equating to multidimensional IRT models is not straightforward due to the one-to-many relationship between a true score and latent variables. Under the common-item nonequivalent groups design, the purpose of the current study was to introduce two IRT true score equating procedures that adopted different dimension reduction strategies for the bifactor model. The first procedure, which was referred to as the integration procedure, linked the latent variable scales for the bifactor model and integrated out the specific factors from the item response function of the bifactor model. Then, IRT true score equating was applied to the marginalized bifactor model. The second procedure, which was referred to as the PIRT-based procedure, projected the specific dimensions onto the general dimension to obtain a locally dependent unidimensional IRT (UIRT) model and linked the scales of the UIRT model, followed by the application of IRT true score equating to the locally dependent UIRT model. Equating results obtained with the two equating procedures along with those obtained with the unidimensional three-parameter logistic (3PL) model were compared using both simulated and real data. In general, the integration and PIRT-based procedures provided equating results that were not practically different. Furthermore, the equating results produced by the two bifactor-based procedures became more accurate than the results returned by the 3PL model as tests became more multidimensional.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
共同项目非等值组设计下双因子模型的项目反应理论真实得分等化。
由于真分数与潜变量之间是一对多的关系,因此将项目反应理论(IRT)真分等化应用于多维 IRT 模型并不简单。在共项非等效组设计下,本研究的目的是引入两种 IRT 真分等效程序,对双因素模型采用不同的维度缩减策略。第一种程序被称为整合程序,它将双因素模型的潜变量量表连接起来,并从双因素模型的项目反应函数中整合出特定因素。然后,对边际化的双因素模型进行 IRT 真实得分等化。第二个程序被称为基于 PIRT 的程序,它将特定维度投射到一般维度上,从而得到一个局部依赖的单维 IRT(UIRT)模型,并将 UIRT 模型的量表连接起来,然后对局部依赖的 UIRT 模型应用 IRT 真分等化法。利用模拟数据和真实数据,比较了两种等分程序的等分结果和单维三参数逻辑(3PL)模型的等分结果。总的来说,积分法和基于 PIRT 的方法得出的等效结果没有实际差别。此外,随着测试变得更加多维化,这两种基于双因素的程序所得出的均衡结果比 3PL 模型所得出的结果更加准确。
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 去求助
来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
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.
期刊最新文献
Effect of Differential Item Functioning on Computer Adaptive Testing Under Different Conditions. Evaluating the Construct Validity of Instructional Manipulation Checks as Measures of Careless Responding to Surveys. A Mark-Recapture Approach to Estimating Item Pool Compromise. Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects. The Improved EMS Algorithm for Latent Variable Selection in M3PL Model.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1