{"title":"构建绩效评估的评分器和任务库。","authors":"G Engelhard","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The purpose of this paper is to present a set of procedures based on Rasch measurement theory for construction an assessment network. An assessment network is defined as a connected system of rater and task banks. Three general classes of data collection designs are presented that can be used to calibrate an assessment network; these are complete, incomplete, and non-linked assessment networks. Carefully constructed assessment networks based on Rasch measurement theory and sound data collection designs provide the opportunity to achieve objective and fair measurements.</p>","PeriodicalId":79673,"journal":{"name":"Journal of outcome measurement","volume":"1 1","pages":"19-33"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constructing rater and task banks for performance assessments.\",\"authors\":\"G Engelhard\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The purpose of this paper is to present a set of procedures based on Rasch measurement theory for construction an assessment network. An assessment network is defined as a connected system of rater and task banks. Three general classes of data collection designs are presented that can be used to calibrate an assessment network; these are complete, incomplete, and non-linked assessment networks. Carefully constructed assessment networks based on Rasch measurement theory and sound data collection designs provide the opportunity to achieve objective and fair measurements.</p>\",\"PeriodicalId\":79673,\"journal\":{\"name\":\"Journal of outcome measurement\",\"volume\":\"1 1\",\"pages\":\"19-33\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of outcome measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of outcome measurement","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constructing rater and task banks for performance assessments.
The purpose of this paper is to present a set of procedures based on Rasch measurement theory for construction an assessment network. An assessment network is defined as a connected system of rater and task banks. Three general classes of data collection designs are presented that can be used to calibrate an assessment network; these are complete, incomplete, and non-linked assessment networks. Carefully constructed assessment networks based on Rasch measurement theory and sound data collection designs provide the opportunity to achieve objective and fair measurements.