{"title":"开发一种单向度的工具来衡量基于学校的伙伴关系的有效性。","authors":"D L Bainer, R M Smith","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The purpose of this study was to refine an instrument designed to measure a single construct, the effectiveness of school-based partnerships. The instrument was designed to measure the \"health\" of the partnership teams and to identify specific problems for which intervention might be appropriate. The items were based on four theoretical models of partnering efforts. The partnerships studied were created to enhance the teaching of elementary school science and involved elementary teachers and resource professionals in school-based programs over a six-year period. The results show how Rasch analysis, using the item and person fit statistics, bias analysis using separate calibration groups for contrasts of interest, and principal component analysis can be used to evaluate the unidimensionality of a scale.</p>","PeriodicalId":79673,"journal":{"name":"Journal of outcome measurement","volume":"3 3","pages":"248-65"},"PeriodicalIF":0.0000,"publicationDate":"1999-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing a unidimensional instrument to measure the effectiveness of school-based partnerships.\",\"authors\":\"D L Bainer, R M Smith\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The purpose of this study was to refine an instrument designed to measure a single construct, the effectiveness of school-based partnerships. The instrument was designed to measure the \\\"health\\\" of the partnership teams and to identify specific problems for which intervention might be appropriate. The items were based on four theoretical models of partnering efforts. The partnerships studied were created to enhance the teaching of elementary school science and involved elementary teachers and resource professionals in school-based programs over a six-year period. The results show how Rasch analysis, using the item and person fit statistics, bias analysis using separate calibration groups for contrasts of interest, and principal component analysis can be used to evaluate the unidimensionality of a scale.</p>\",\"PeriodicalId\":79673,\"journal\":{\"name\":\"Journal of outcome measurement\",\"volume\":\"3 3\",\"pages\":\"248-65\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-01-01\",\"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}
Developing a unidimensional instrument to measure the effectiveness of school-based partnerships.
The purpose of this study was to refine an instrument designed to measure a single construct, the effectiveness of school-based partnerships. The instrument was designed to measure the "health" of the partnership teams and to identify specific problems for which intervention might be appropriate. The items were based on four theoretical models of partnering efforts. The partnerships studied were created to enhance the teaching of elementary school science and involved elementary teachers and resource professionals in school-based programs over a six-year period. The results show how Rasch analysis, using the item and person fit statistics, bias analysis using separate calibration groups for contrasts of interest, and principal component analysis can be used to evaluate the unidimensionality of a scale.