{"title":"社会情绪学习量表中负面词汇混淆的IRT混合模型","authors":"D. Bolt, Y. Wang, R. Meyer, L. Pier","doi":"10.1080/08957347.2020.1789140","DOIUrl":null,"url":null,"abstract":"ABSTRACT We illustrate the application of mixture IRT models to evaluate respondent confusion due to the negative wording of certain items on a social-emotional learning (SEL) assessment. Using actual student self-report ratings on four social-emotional learning scales collected from students in grades 3–12 from CORE Districts in the state of California, we also evaluate the consequences of the potential confusion in biasing student- and school-level scores as well as the estimated correlational relationships between SEL constructs and student-level variables. Models of both full and partial confusion are examined. Our results suggest that (1) rating scale confusion due to negatively worded items does appear to be present; (2) the confusion is most prevalent at lower grade levels (third–fifth); and (3) the occurrence of confusion is positively related to both reading proficiency and ELL status, as anticipated, and consequently biases estimates of SEL correlations with these student-level variables. For these reasons, we suggest future iterations of the SEL measures use only positively oriented items.","PeriodicalId":51609,"journal":{"name":"Applied Measurement in Education","volume":"33 1","pages":"331 - 348"},"PeriodicalIF":1.1000,"publicationDate":"2020-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08957347.2020.1789140","citationCount":"5","resultStr":"{\"title\":\"An IRT Mixture Model for Rating Scale Confusion Associated with Negatively Worded Items in Measures of Social-Emotional Learning\",\"authors\":\"D. Bolt, Y. Wang, R. Meyer, L. Pier\",\"doi\":\"10.1080/08957347.2020.1789140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT We illustrate the application of mixture IRT models to evaluate respondent confusion due to the negative wording of certain items on a social-emotional learning (SEL) assessment. Using actual student self-report ratings on four social-emotional learning scales collected from students in grades 3–12 from CORE Districts in the state of California, we also evaluate the consequences of the potential confusion in biasing student- and school-level scores as well as the estimated correlational relationships between SEL constructs and student-level variables. Models of both full and partial confusion are examined. Our results suggest that (1) rating scale confusion due to negatively worded items does appear to be present; (2) the confusion is most prevalent at lower grade levels (third–fifth); and (3) the occurrence of confusion is positively related to both reading proficiency and ELL status, as anticipated, and consequently biases estimates of SEL correlations with these student-level variables. For these reasons, we suggest future iterations of the SEL measures use only positively oriented items.\",\"PeriodicalId\":51609,\"journal\":{\"name\":\"Applied Measurement in Education\",\"volume\":\"33 1\",\"pages\":\"331 - 348\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2020-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/08957347.2020.1789140\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Measurement in Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1080/08957347.2020.1789140\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Measurement in Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/08957347.2020.1789140","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}
An IRT Mixture Model for Rating Scale Confusion Associated with Negatively Worded Items in Measures of Social-Emotional Learning
ABSTRACT We illustrate the application of mixture IRT models to evaluate respondent confusion due to the negative wording of certain items on a social-emotional learning (SEL) assessment. Using actual student self-report ratings on four social-emotional learning scales collected from students in grades 3–12 from CORE Districts in the state of California, we also evaluate the consequences of the potential confusion in biasing student- and school-level scores as well as the estimated correlational relationships between SEL constructs and student-level variables. Models of both full and partial confusion are examined. Our results suggest that (1) rating scale confusion due to negatively worded items does appear to be present; (2) the confusion is most prevalent at lower grade levels (third–fifth); and (3) the occurrence of confusion is positively related to both reading proficiency and ELL status, as anticipated, and consequently biases estimates of SEL correlations with these student-level variables. For these reasons, we suggest future iterations of the SEL measures use only positively oriented items.
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.