Violation of Conditional Independence in the Many-Facets Rasch Model

IF 1.1 4区 教育学 Q3 EDUCATION & EDUCATIONAL RESEARCH Applied Measurement in Education Pub Date : 2021-04-03 DOI:10.1080/08957347.2021.1890743
Christine E. DeMars
{"title":"Violation of Conditional Independence in the Many-Facets Rasch Model","authors":"Christine E. DeMars","doi":"10.1080/08957347.2021.1890743","DOIUrl":null,"url":null,"abstract":"ABSTRACT Estimation of parameters for the many-facets Rasch model requires that conditional on the values of the facets, such as person ability, item difficulty, and rater severity, the observed responses within each facet are independent. This requirement has often been discussed for the Rasch models and 2PL and 3PL models, but it becomes more complex with more facets. To show how violation of conditional independence may be exhibited, three scenarios with different types of dependency are developed: (a) raters rating the same work, (b) a residual ability shared by two tasks, and (c) score on one task dependent on observed score on a previous task.","PeriodicalId":51609,"journal":{"name":"Applied Measurement in Education","volume":"34 1","pages":"122 - 138"},"PeriodicalIF":1.1000,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08957347.2021.1890743","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Measurement in Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/08957347.2021.1890743","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 2

Abstract

ABSTRACT Estimation of parameters for the many-facets Rasch model requires that conditional on the values of the facets, such as person ability, item difficulty, and rater severity, the observed responses within each facet are independent. This requirement has often been discussed for the Rasch models and 2PL and 3PL models, but it becomes more complex with more facets. To show how violation of conditional independence may be exhibited, three scenarios with different types of dependency are developed: (a) raters rating the same work, (b) a residual ability shared by two tasks, and (c) score on one task dependent on observed score on a previous task.
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
多方面Rasch模型中条件独立性的违反
多面Rasch模型的参数估计要求以人的能力、项目难度和更严重程度等方面的值为条件,观察到的每个方面的反应是独立的。Rasch模型以及2PL和3PL模型经常讨论这个需求,但是它随着更多方面而变得更加复杂。为了展示违反条件独立是如何表现出来的,我们开发了三种不同类型依赖的场景:(a)评分者对相同的工作进行评分,(b)两个任务共享的剩余能力,以及(c)一个任务的得分取决于观察到的前一个任务的得分。
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
2.50
自引率
13.30%
发文量
14
期刊介绍: Because interaction between the domains of research and application is critical to the evaluation and improvement of new educational measurement practices, Applied Measurement in Education" prime objective is to improve communication between academicians and practitioners. To help bridge the gap between theory and practice, articles in this journal describe original research studies, innovative strategies for solving educational measurement problems, and integrative reviews of current approaches to contemporary measurement issues. Peer Review Policy: All review papers in this journal have undergone editorial screening and peer review.
期刊最新文献
New Tests of Rater Drift in Trend Scoring Automated Scoring of Short-Answer Questions: A Progress Report Item and Test Characteristic Curves of Rank-2PL Models for Multidimensional Forced-Choice Questionnaires Impact of violating unidimensionality on Rasch calibration for mixed-format tests Can Adaptive Testing Improve Test-Taking Experience? A Case Study on Educational Survey Assessment
×
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