{"title":"IRTGUI:一个具有图形用户界面的用于一维项目反应理论分析的R包。","authors":"Huseyin Yildiz","doi":"10.1177/01466216211040532","DOIUrl":null,"url":null,"abstract":"<p><p>In the last decade, many R packages were published to perform item response theory (IRT) analysis. Some researchers and practitioners have difficulty in using these functional tools because of their insufficient coding skills. The <i>IRTGUI</i> package provides these researchers a user-friendly GUI where they can perform unidimensional IRT analysis without coding skills. Using the <i>IRTGUI</i> package, person and item parameters, model and item fit indices can be obtained. Dimensionality and local independence assumptions can be tested. With the <i>IRTGUI</i> package, users can generate dichotomous data sets with customizable conditions. Also, Wright Maps, item characteristics and information curves can be graphically displayed. All outputs can be easily downloaded by users.</p>","PeriodicalId":48300,"journal":{"name":"Applied Psychological Measurement","volume":"45 7-8","pages":"551-552"},"PeriodicalIF":1.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640354/pdf/10.1177_01466216211040532.pdf","citationCount":"0","resultStr":"{\"title\":\"IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface.\",\"authors\":\"Huseyin Yildiz\",\"doi\":\"10.1177/01466216211040532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In the last decade, many R packages were published to perform item response theory (IRT) analysis. Some researchers and practitioners have difficulty in using these functional tools because of their insufficient coding skills. The <i>IRTGUI</i> package provides these researchers a user-friendly GUI where they can perform unidimensional IRT analysis without coding skills. Using the <i>IRTGUI</i> package, person and item parameters, model and item fit indices can be obtained. Dimensionality and local independence assumptions can be tested. With the <i>IRTGUI</i> package, users can generate dichotomous data sets with customizable conditions. Also, Wright Maps, item characteristics and information curves can be graphically displayed. All outputs can be easily downloaded by users.</p>\",\"PeriodicalId\":48300,\"journal\":{\"name\":\"Applied Psychological Measurement\",\"volume\":\"45 7-8\",\"pages\":\"551-552\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640354/pdf/10.1177_01466216211040532.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Psychological Measurement\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/01466216211040532\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/9/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHOLOGY, MATHEMATICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Psychological Measurement","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/01466216211040532","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/15 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PSYCHOLOGY, MATHEMATICAL","Score":null,"Total":0}
IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface.
In the last decade, many R packages were published to perform item response theory (IRT) analysis. Some researchers and practitioners have difficulty in using these functional tools because of their insufficient coding skills. The IRTGUI package provides these researchers a user-friendly GUI where they can perform unidimensional IRT analysis without coding skills. Using the IRTGUI package, person and item parameters, model and item fit indices can be obtained. Dimensionality and local independence assumptions can be tested. With the IRTGUI package, users can generate dichotomous data sets with customizable conditions. Also, Wright Maps, item characteristics and information curves can be graphically displayed. All outputs can be easily downloaded by users.
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.