{"title":"结合潜在变量和测量变量的估计模型:结构方程模型及其使用PLS路径建模的估计的基础,应用和当前发展教程","authors":"Markus Kattenbeck, David Elsweiler","doi":"10.1145/3176349.3176899","DOIUrl":null,"url":null,"abstract":"Structural Equation Modeling is a powerful statistical approach where measured variables and those which are latent can be combined in a single model. In this half-day tutorial participants learned about the statistical technique, its theoretical underpinnings and gained sufficient insight to apply this technique in a practical sense to their own research problems.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Estimating Models Combining Latent and Measured Variables: A Tutorial on Basics, Applications and Current Developments in Structural Equation Models and their Estimation using PLS Path Modeling\",\"authors\":\"Markus Kattenbeck, David Elsweiler\",\"doi\":\"10.1145/3176349.3176899\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Structural Equation Modeling is a powerful statistical approach where measured variables and those which are latent can be combined in a single model. In this half-day tutorial participants learned about the statistical technique, its theoretical underpinnings and gained sufficient insight to apply this technique in a practical sense to their own research problems.\",\"PeriodicalId\":198379,\"journal\":{\"name\":\"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3176349.3176899\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3176349.3176899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating Models Combining Latent and Measured Variables: A Tutorial on Basics, Applications and Current Developments in Structural Equation Models and their Estimation using PLS Path Modeling
Structural Equation Modeling is a powerful statistical approach where measured variables and those which are latent can be combined in a single model. In this half-day tutorial participants learned about the statistical technique, its theoretical underpinnings and gained sufficient insight to apply this technique in a practical sense to their own research problems.