{"title":"项目反应理论参数估计抽样方差在常见项目方程异常值检测中的应用。","authors":"Chunyan Liu, Daniel Jurich","doi":"10.1177/01466216221108122","DOIUrl":null,"url":null,"abstract":"<p><p>In common item equating, the existence of item outliers may impact the accuracy of equating results and bring significant ramifications to the validity of test score interpretations. Therefore, common item equating should involve a screening process to flag outlying items and exclude them from the common item set before equating is conducted. The current simulation study demonstrated that the sampling variance associated with the item response theory (IRT) item parameter estimates can help detect outliers in the common items under the 2-PL and 3-PL IRT models. The results showed the proposed sampling variance statistic (<i>SV</i>) outperformed the traditional displacement method with cutoff values of 0.3 and 0.5 along a variety of evaluation criteria. Based on the favorable results, item outlier detection statistics based on estimated sampling variability warrant further consideration in both research and practice.</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/PMC9382092/pdf/10.1177_01466216221108122.pdf","citationCount":"0","resultStr":"{\"title\":\"Application of Sampling Variance of Item Response Theory Parameter Estimates in Detecting Outliers in Common Item Equating.\",\"authors\":\"Chunyan Liu, Daniel Jurich\",\"doi\":\"10.1177/01466216221108122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In common item equating, the existence of item outliers may impact the accuracy of equating results and bring significant ramifications to the validity of test score interpretations. Therefore, common item equating should involve a screening process to flag outlying items and exclude them from the common item set before equating is conducted. The current simulation study demonstrated that the sampling variance associated with the item response theory (IRT) item parameter estimates can help detect outliers in the common items under the 2-PL and 3-PL IRT models. The results showed the proposed sampling variance statistic (<i>SV</i>) outperformed the traditional displacement method with cutoff values of 0.3 and 0.5 along a variety of evaluation criteria. Based on the favorable results, item outlier detection statistics based on estimated sampling variability warrant further consideration in both research and practice.</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/PMC9382092/pdf/10.1177_01466216221108122.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Psychological Measurement\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/01466216221108122\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHOLOGY, MATHEMATICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Psychological Measurement","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/01466216221108122","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHOLOGY, MATHEMATICAL","Score":null,"Total":0}
Application of Sampling Variance of Item Response Theory Parameter Estimates in Detecting Outliers in Common Item Equating.
In common item equating, the existence of item outliers may impact the accuracy of equating results and bring significant ramifications to the validity of test score interpretations. Therefore, common item equating should involve a screening process to flag outlying items and exclude them from the common item set before equating is conducted. The current simulation study demonstrated that the sampling variance associated with the item response theory (IRT) item parameter estimates can help detect outliers in the common items under the 2-PL and 3-PL IRT models. The results showed the proposed sampling variance statistic (SV) outperformed the traditional displacement method with cutoff values of 0.3 and 0.5 along a variety of evaluation criteria. Based on the favorable results, item outlier detection statistics based on estimated sampling variability warrant further consideration in both research and practice.
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.