{"title":"结构方程建模(SEM)的假设，数据分布分析的正态性和模型拟合措施","authors":"Ng Kok Wah","doi":"10.47363/jcet/2023(4)135","DOIUrl":null,"url":null,"abstract":"Structure Equation Modeling (SEM) is a well-known research technique. Before proceed further in data analysis, the researcher describes the fundamentals of Structure Equation Modeling (SEM), as well as its modeling criteria, assumptions, and concepts.","PeriodicalId":102800,"journal":{"name":"Journal of Clinical Epidemiology & Toxicology","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assumptions for Structure Equation Modeling (SEM), Normality of Data Distribution Analysis & Model Fit Measures\",\"authors\":\"Ng Kok Wah\",\"doi\":\"10.47363/jcet/2023(4)135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Structure Equation Modeling (SEM) is a well-known research technique. Before proceed further in data analysis, the researcher describes the fundamentals of Structure Equation Modeling (SEM), as well as its modeling criteria, assumptions, and concepts.\",\"PeriodicalId\":102800,\"journal\":{\"name\":\"Journal of Clinical Epidemiology & Toxicology\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Epidemiology & Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47363/jcet/2023(4)135\",\"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 Clinical Epidemiology & Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47363/jcet/2023(4)135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assumptions for Structure Equation Modeling (SEM), Normality of Data Distribution Analysis & Model Fit Measures
Structure Equation Modeling (SEM) is a well-known research technique. Before proceed further in data analysis, the researcher describes the fundamentals of Structure Equation Modeling (SEM), as well as its modeling criteria, assumptions, and concepts.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
