Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语) from Coursera

课程介绍：

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）。

修课背景要求：

讲学语言：普通话及广东话 / 简体中文

这是一个艰深的高阶课程，学员应有下述的知识及训练：(i) 使用SPSS, SAS或其他类似软件包；(ii) 回归；和(iii) 因子分析(探索性因子分析)。

课程目标：

完成课程之后，学生的预期学习成果是：

1. 能够说出与传统的ANOVA和回归分析法相比，结构方程模型的优点；

2. 能够在仪器上进行验证性因子分析；

3. 能够用结构方程模型分析简单的全模型；

4. 通过计算出各种拟合指数和运用其他评估标准，能够比较并选出适合的模型；

5. 能够基于相应的参数统计修改模型；

What's inside

Syllabus

课程资料

第一课：简介 (参考：第一章引言)

第二课：探索性与验证性因子分析 (参考：第一章引言)

第三课：SEM原理 (参考：第二章结构方程模型简介)

第四课：验证性因子分析 (参考：第三章应用示范I 一、验证性因子分析)

第五课：多质多法模型 (参考：第三章应用示范I 二、多质多法模型)

第六课：全模型 (参考：第三章应用示范I 三、全模型)

第七课：高阶因子分析 (参考：第三章应用示范四、高阶因子分析)

第八课：单纯形模型 (参考：第四章应用示范II：单纯形和多组模型一、单纯形模型)

第九课：多组SEM分析 (参考：第四章应用示范II：单纯形和多组模型二、多组验证性因子分析三、多组分析：均值结构模型)

第十课：结构方程建模和分析步骤 (参考：第五章结构方程建模和分析步骤)

第十一课：涉及数据的问题 (参考：第六章专题讨论——涉及资料的问题第七章专题讨论——涉及模型拟合的问题第八章拟合指数)

第十二课：读取SPSS数据 (参考：附录III通过SPSS读取数据)

期末考

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

适合具备心理学、教育学、经济学、管理学或市场学背景的学生。

要求学员具备对标准差、t检验和相关系数的理解，以及对回归分析和因子分析的概念有所了解。

针对社会科学领域的量化研究提供实用的数据分析方法。

由教授结构方程模型方面的专家任教，讲授质量有保障。

采用中文授课，语言障碍较小。

提供多元数据分析相关理论和实务，有助于提升研究能力。

Reviews summary

Valuable sem course for beginners

This course on Structural Equation Modeling (SEM) and its applications is generally well-received by students. Reviewers commend the clear instruction and find the course to be well-suited for beginners. While some reviewers mention that specific test content was not covered during lectures, the overall feedback is positive.

Good for those new to SEM

"clear instruction, a very good course for beginner to learn SEM."

Some test content not covered in lectures

"候教授你好，有些測驗的內容沒有教"

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Career center

Learners who complete Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语) will develop knowledge and skills that may be useful to these careers:

Econometrician

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Data Engineer

Data Engineers build and maintain the infrastructure that is used to store and process data. This course provides a solid foundation in SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Data Engineers because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Data Engineer and advance your career in data engineering.

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Market Researcher

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Research Scientist

Research Scientists use data to solve problems and make new discoveries. This course provides a comprehensive overview of SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Research Scientists because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Research Scientist and advance your career in research.

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Quantitative Researcher

Quantitative Researchers use statistical models to analyze data and solve business problems. This course provides a solid foundation in structural equation modeling (SEM), a powerful statistical technique for modeling complex relationships among variables. SEM is widely used in market research, finance, and other fields where researchers need to understand the underlying structure of data. Taking this course will give you the skills you need to become a successful Quantitative Researcher and advance your career in data analysis.

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Management Consultant

Management Consultants use data to help businesses solve problems and improve performance. This course provides a comprehensive overview of SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Management Consultants because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Management Consultant and advance your career in management consulting.

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Operations Research Analyst

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Statistician

Statisticians use data to solve problems and make informed decisions. This course provides a comprehensive overview of SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Statisticians because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Statistician and advance your career in statistics.

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Data Analyst

Data Analysts use data to solve business problems and make informed decisions. This course provides a comprehensive overview of SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Data Analysts because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Data Analyst and advance your career in data analysis.

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Financial Analyst

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Data Scientist

Data Scientists use data to solve problems and make new discoveries. This course provides a comprehensive overview of SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Data Scientists because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Data Scientist and advance your career in data science.

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Machine Learning Engineer

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Software Developer

Software Developers design and build software applications. This course provides a solid foundation in SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Software Developers because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Software Developer and advance your career in software development.

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Product Manager

Product Managers are responsible for the development and launch of new products. This course provides a solid foundation in SEM, a statistical technique that is specifically designed to analyze complex relationships among variables. SEM is a valuable tool for Product Managers because it allows them to model and test complex hypotheses, and to identify the underlying structure of data. Taking this course will give you the skills you need to become a successful Product Manager and advance your career in product management.

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