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

Markus Kattenbeck, David Elsweiler
{"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}
引用次数: 5

摘要

结构方程建模是一种强大的统计方法,可以将测量变量和潜在变量组合在一个模型中。在这半天的教程中,参与者学习了统计技术,它的理论基础,并获得了足够的洞察力,将这种技术在实际意义上应用于他们自己的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信