{"title":"测试理论:一种统一的治疗方法","authors":"R. Mcdonald","doi":"10.2307/2669496","DOIUrl":null,"url":null,"abstract":"Contents: General Introduction. Items and Item Scores. Item and Test Statistics. The Concept of a Scale. Reliability Theory for Total Test Scores. Test Homogeneity, Reliability, and Generalizability. Reliability--Applications. Prediction and Multiple Regression. The Common Factor Model. Validity. Classical Item Analysis. Item Response Models. Properties of Item Response Models. Multidimensional Item Response Models. Comparing Populations. Alternate Forms and the Problem of Equating. An Introduction to Structural Equation Modeling. Some Scaling Theory. Retrospective. Appendix: Some Rules for Expected Values.","PeriodicalId":0,"journal":{"name":"","volume":" ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3461","resultStr":"{\"title\":\"Test Theory: A Unified Treatment\",\"authors\":\"R. Mcdonald\",\"doi\":\"10.2307/2669496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Contents: General Introduction. Items and Item Scores. Item and Test Statistics. The Concept of a Scale. Reliability Theory for Total Test Scores. Test Homogeneity, Reliability, and Generalizability. Reliability--Applications. Prediction and Multiple Regression. The Common Factor Model. Validity. Classical Item Analysis. Item Response Models. Properties of Item Response Models. Multidimensional Item Response Models. Comparing Populations. Alternate Forms and the Problem of Equating. An Introduction to Structural Equation Modeling. Some Scaling Theory. Retrospective. Appendix: Some Rules for Expected Values.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":\" \",\"pages\":\"0\"},\"PeriodicalIF\":0.0,\"publicationDate\":\"1999-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3461\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2307/2669496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/2669496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contents: General Introduction. Items and Item Scores. Item and Test Statistics. The Concept of a Scale. Reliability Theory for Total Test Scores. Test Homogeneity, Reliability, and Generalizability. Reliability--Applications. Prediction and Multiple Regression. The Common Factor Model. Validity. Classical Item Analysis. Item Response Models. Properties of Item Response Models. Multidimensional Item Response Models. Comparing Populations. Alternate Forms and the Problem of Equating. An Introduction to Structural Equation Modeling. Some Scaling Theory. Retrospective. Appendix: Some Rules for Expected Values.