在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中，结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析，弥补了传统回归分析和因子分析的不足，可以分析多因多果的联系、潜变量的关系，还可以处理多水平数据和纵向数据，是非常重要的多元数据分析工具。本课程系统地介绍结构方程模型和LISREL软件的应用，内容包括：结构方程分析（包括验证性因子分析）的基本概念、统计原理、在社会科学研究中的应用、常用模型及其LISREL程序、结果的解释和模型评价。学员应具备基本的统计知识（如：标准差、t-检验、相关系数），理解回归分析和因子分析的概念。 注：本课程配套教材为《结构方程模型及其应用》（以LISREL软件为例）。
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
Instructor: Prof. Kit Tai Hau 侯傑泰
Sponsored by Louisiana Workforce Commission
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Gain insight into a topic and learn the fundamentals.
4.8
(92 reviews)
13 hours to complete
3 weeks at 4 hours a week
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13 assignments
Taught in Chinese (Simplified)
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1 video5 readings
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SS
5
Reviewed on Apr 9, 2016
整个学习过程由浅入深，接受起来不是很困难，适合零基础学习，讲解的很清晰，老师也会及时的对课后疑问进行解答。如果老师能够讲几个从操作到结果分析完整的例子就更好了
ZQ
4
Reviewed on Jun 7, 2017
授课内容讲解很清晰，作为结构方程模型的入门很合适。具体的应用还要自己事后练习，发现更多的问题，对这个领域进行更深入的了解。
XY
5
Reviewed on Mar 4, 2018
This is a really good course on SEM. I strongly recommend it!
Recommended if you're interested in Data Science
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