具有潜在项目效应变量的等级反应概率多状态IRT模型

IF 3.2 3区 心理学 Q2 PSYCHOLOGY, APPLIED European Journal of Psychological Assessment Pub Date : 2023-01-31 DOI:10.1027/1015-5759/a000751
Franz L. Classe, R. Steyer
{"title":"具有潜在项目效应变量的等级反应概率多状态IRT模型","authors":"Franz L. Classe, R. Steyer","doi":"10.1027/1015-5759/a000751","DOIUrl":null,"url":null,"abstract":"Abstract. A probit multistate Item Response Theory (IRT) model for ordinal response variables is introduced. It comprises a reference latent state variable for each occasion of measurement and a latent item effect variable for each item except for one reference item. The latent item effect variable is defined as the difference between the latent state variable pertaining to the non-reference item and the latent state variable pertaining to the reference item. They are assumed to be identical for all occasions of measurement. The new model is applied to a real data example. Including item effect variables improve model fit considerably. Hence, the items are not strictly unidimensional within each occasion of measurement.","PeriodicalId":48018,"journal":{"name":"European Journal of Psychological Assessment","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Probit Multistate IRT Model With Latent Item Effect Variables for Graded Responses\",\"authors\":\"Franz L. Classe, R. Steyer\",\"doi\":\"10.1027/1015-5759/a000751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. A probit multistate Item Response Theory (IRT) model for ordinal response variables is introduced. It comprises a reference latent state variable for each occasion of measurement and a latent item effect variable for each item except for one reference item. The latent item effect variable is defined as the difference between the latent state variable pertaining to the non-reference item and the latent state variable pertaining to the reference item. They are assumed to be identical for all occasions of measurement. The new model is applied to a real data example. Including item effect variables improve model fit considerably. Hence, the items are not strictly unidimensional within each occasion of measurement.\",\"PeriodicalId\":48018,\"journal\":{\"name\":\"European Journal of Psychological Assessment\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2023-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Psychological Assessment\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1027/1015-5759/a000751\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Psychological Assessment","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1015-5759/a000751","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

摘要介绍了一种概率多状态项目反应理论(probit multi - state Item Response Theory, IRT)模型。它包括用于每个测量场合的参考潜在状态变量和用于除一个参考项目外的每个项目的潜在项目效应变量。潜在项目效应变量定义为与非参考项目相关的潜在状态变量与与参考项目相关的潜在状态变量之间的差异。假定它们在所有测量场合都是相同的。将该模型应用于一个实际的数据实例。纳入项目效应变量可显著改善模型拟合。因此,在每次测量中,这些项目并不是严格的单维的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Probit Multistate IRT Model With Latent Item Effect Variables for Graded Responses
Abstract. A probit multistate Item Response Theory (IRT) model for ordinal response variables is introduced. It comprises a reference latent state variable for each occasion of measurement and a latent item effect variable for each item except for one reference item. The latent item effect variable is defined as the difference between the latent state variable pertaining to the non-reference item and the latent state variable pertaining to the reference item. They are assumed to be identical for all occasions of measurement. The new model is applied to a real data example. Including item effect variables improve model fit considerably. Hence, the items are not strictly unidimensional within each occasion of measurement.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.40
自引率
4.00%
发文量
71
期刊介绍: The main purpose of the EJPA is to present important articles which provide seminal information on both theoretical and applied developments in this field. Articles reporting the construction of new measures or an advancement of an existing measure are given priority. The journal is directed to practitioners as well as to academicians: The conviction of its editors is that the discipline of psychological assessment should, necessarily and firmly, be attached to the roots of psychological science, while going deeply into all the consequences of its applied, practice-oriented development.
期刊最新文献
The Potential of Machine Learning Methods in Psychological Assessment and Test Construction An Examination of the Role of Inverted Dark Tetrad Items on Structural Properties and Construct Validity Evaluating the Psychometric Properties of the Romanian Version of Thriving at Work Scale Development and Validation of the Work Orientation Questionnaire Short-Form (WOQ-SF) Seeing the Light in Self-Reported Glare
×
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