{"title":"因子分析以确定商学院管理科目的潜在构念","authors":"U. Kumar, Manandeep Singh","doi":"10.1109/SOLI.2007.4383890","DOIUrl":null,"url":null,"abstract":"Factor analysis involves the study of order and structure in multivariate data. It starts with a set of observations obtained from a given sample, analyzing this set of observation with their inter-correlations to determine whether the variations represented can be accounted for adequately by a number of basic categories smaller than that with which the investigation was started. Factor analysis is applied to identify the latent constructs in the subjects being offered at a business school. The significance of this study is to get some insight on the course design of the prevailing academic curriculum.","PeriodicalId":154053,"journal":{"name":"2007 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"7 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factor analysis to identify latent constructs across management subjects at a business school\",\"authors\":\"U. Kumar, Manandeep Singh\",\"doi\":\"10.1109/SOLI.2007.4383890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Factor analysis involves the study of order and structure in multivariate data. It starts with a set of observations obtained from a given sample, analyzing this set of observation with their inter-correlations to determine whether the variations represented can be accounted for adequately by a number of basic categories smaller than that with which the investigation was started. Factor analysis is applied to identify the latent constructs in the subjects being offered at a business school. The significance of this study is to get some insight on the course design of the prevailing academic curriculum.\",\"PeriodicalId\":154053,\"journal\":{\"name\":\"2007 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"volume\":\"7 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOLI.2007.4383890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Service Operations and Logistics, and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2007.4383890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factor analysis to identify latent constructs across management subjects at a business school
Factor analysis involves the study of order and structure in multivariate data. It starts with a set of observations obtained from a given sample, analyzing this set of observation with their inter-correlations to determine whether the variations represented can be accounted for adequately by a number of basic categories smaller than that with which the investigation was started. Factor analysis is applied to identify the latent constructs in the subjects being offered at a business school. The significance of this study is to get some insight on the course design of the prevailing academic curriculum.