{"title":"利用全信息项目分析提高项目质量","authors":"T. Haladyna, Michael C. Rodriguez","doi":"10.1080/10627197.2021.1946390","DOIUrl":null,"url":null,"abstract":"ABSTRACT Full-information item analysis provides item developers and reviewers comprehensive empirical evidence of item quality, including option response frequency, point-biserial index (PBI) for distractors, mean-scores of respondents selecting each option, and option trace lines. The multi-serial index (MSI) is introduced as a more informative item-total correlation, accounting for variable distractor performance. The overall item PBI is empirically compared to the MSI. For items from an operational mathematics and reading test, poorly performing distractors are systematically removed to recompute the MSI, indicating improvements in item quality. Case studies for specific items with different characteristics are described to illustrate a variety of outcomes, focused on improving item discrimination. Full-information item analyses are presented for each case study item, providing clear examples of interpretation and use of item analyses. A summary of recommendations for item analysts is provided.","PeriodicalId":46209,"journal":{"name":"Educational Assessment","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10627197.2021.1946390","citationCount":"4","resultStr":"{\"title\":\"Using Full-information Item Analysis to Improve Item Quality\",\"authors\":\"T. Haladyna, Michael C. Rodriguez\",\"doi\":\"10.1080/10627197.2021.1946390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Full-information item analysis provides item developers and reviewers comprehensive empirical evidence of item quality, including option response frequency, point-biserial index (PBI) for distractors, mean-scores of respondents selecting each option, and option trace lines. The multi-serial index (MSI) is introduced as a more informative item-total correlation, accounting for variable distractor performance. The overall item PBI is empirically compared to the MSI. For items from an operational mathematics and reading test, poorly performing distractors are systematically removed to recompute the MSI, indicating improvements in item quality. Case studies for specific items with different characteristics are described to illustrate a variety of outcomes, focused on improving item discrimination. Full-information item analyses are presented for each case study item, providing clear examples of interpretation and use of item analyses. A summary of recommendations for item analysts is provided.\",\"PeriodicalId\":46209,\"journal\":{\"name\":\"Educational Assessment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2021-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/10627197.2021.1946390\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Educational Assessment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/10627197.2021.1946390\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Assessment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10627197.2021.1946390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Using Full-information Item Analysis to Improve Item Quality
ABSTRACT Full-information item analysis provides item developers and reviewers comprehensive empirical evidence of item quality, including option response frequency, point-biserial index (PBI) for distractors, mean-scores of respondents selecting each option, and option trace lines. The multi-serial index (MSI) is introduced as a more informative item-total correlation, accounting for variable distractor performance. The overall item PBI is empirically compared to the MSI. For items from an operational mathematics and reading test, poorly performing distractors are systematically removed to recompute the MSI, indicating improvements in item quality. Case studies for specific items with different characteristics are described to illustrate a variety of outcomes, focused on improving item discrimination. Full-information item analyses are presented for each case study item, providing clear examples of interpretation and use of item analyses. A summary of recommendations for item analysts is provided.
期刊介绍:
Educational Assessment publishes original research and scholarship on the assessment of individuals, groups, and programs in educational settings. It includes theory, methodological approaches and empirical research in the appraisal of the learning and achievement of students and teachers, young children and adults, and novices and experts. The journal reports on current large-scale testing practices, discusses alternative approaches, presents scholarship on classroom assessment practices and includes assessment topics debated at the national level. It welcomes both conceptual and empirical pieces and encourages articles that provide a strong bridge between theory and/or empirical research and the implications for educational policy and/or practice.