Getting started with the graded response model: An introduction and tutorial in R.

IF 3.3 3区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Rizqy Amelia Zein, Hanif Akhtar
{"title":"Getting started with the graded response model: An introduction and tutorial in R.","authors":"Rizqy Amelia Zein, Hanif Akhtar","doi":"10.1002/ijop.13265","DOIUrl":null,"url":null,"abstract":"<p><p>This tutorial introduces the graded response model (GRM), a tool for testing measurement precision within the item response theory (IRT) paradigm, which is useful for informing researchers about the item and person properties of their measurement. The tutorial aims to guide applied researchers through a unidimensional GRM analysis in the R environment, using the psych, mirt and ggmirt packages. GRM is specifically designed to examine the psychometric properties of psychological scales with polytomous (Likert-style) items. The tutorial illustrates the procedure using data from the Open Psychometrics Database on the right-wing authoritarianism (RWA) scale, outlining the theoretical underpinnings of GRM and steps for data preparation, testing model assumptions, model fitting, plotting item parameters and interpretation of results.</p>","PeriodicalId":48146,"journal":{"name":"International Journal of Psychology","volume":" ","pages":"e13265"},"PeriodicalIF":3.3000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1002/ijop.13265","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This tutorial introduces the graded response model (GRM), a tool for testing measurement precision within the item response theory (IRT) paradigm, which is useful for informing researchers about the item and person properties of their measurement. The tutorial aims to guide applied researchers through a unidimensional GRM analysis in the R environment, using the psych, mirt and ggmirt packages. GRM is specifically designed to examine the psychometric properties of psychological scales with polytomous (Likert-style) items. The tutorial illustrates the procedure using data from the Open Psychometrics Database on the right-wing authoritarianism (RWA) scale, outlining the theoretical underpinnings of GRM and steps for data preparation, testing model assumptions, model fitting, plotting item parameters and interpretation of results.

分级响应模型入门:R 语言入门与教程
本教程介绍了分级反应模型(GRM),这是一种在项目反应理论(IRT)范式下测试测量精度的工具,有助于研究人员了解其测量的项目和人的属性。本教程旨在指导应用研究人员在 R 环境中使用 psych、mirt 和 ggmirt 软件包进行单维 GRM 分析。GRM 专门用于检验具有多项式(Likert 式)项目的心理量表的心理测量属性。本教程使用开放式心理测量数据库中关于右翼威权主义(RWA)量表的数据说明了这一过程,概述了 GRM 的理论基础以及数据准备、模型假设检验、模型拟合、项目参数绘图和结果解释等步骤。
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 Psychology
International Journal of Psychology PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
6.40
自引率
0.00%
发文量
64
期刊介绍: The International Journal of Psychology (IJP) is the journal of the International Union of Psychological Science (IUPsyS) and is published under the auspices of the Union. IJP seeks to support the IUPsyS in fostering the development of international psychological science. It aims to strengthen the dialog within psychology around the world and to facilitate communication among different areas of psychology and among psychologists from different cultural backgrounds. IJP is the outlet for empirical basic and applied studies and for reviews that either (a) incorporate perspectives from different areas or domains within psychology or across different disciplines, (b) test the culture-dependent validity of psychological theories, or (c) integrate literature from different regions in the world.
×
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