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Prof. Kit Tai Hau 侯傑泰
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）。
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Syllabus
课程资料
第一课：简介 (參考：第一章 引言)
第二课：探索性与验证性因子分析 (參考：第一章 引言)
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Syllabus
课程资料
第一课：简介 (參考：第一章 引言)
第二课：探索性与验证性因子分析 (參考：第一章 引言)
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Provides a solid basis for continuing education and research in social sciences, psychology, and education
Develops an intuitive understanding of advanced statistical methods in social sciences
Facilitates effective data analysis and interpretation for various research projects
Enhances understanding of causal relationships among variables and latent constructs
Offers hands-on experience with practical applications using LISREL software
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Reviews summary
结构方程模型理论与应用深入讲解
根据学员反馈，这门结构方程模型课程获得了普遍好评，尤其在理论讲解的清晰度和深度方面。多数学员认为课程系统全面，能够帮助他们扎实掌握SEM原理，并将其应用于研究和实践中。老师的讲解被赞为专业、细致且到位。课程配套的LISREL软件操作演示实用性强，但也有部分学员觉得软件操作部分的指导可以更详细，或者希望涵盖其他软件。一些学员指出，课程进度可能对完全零基础者稍快，且对统计学和矩阵基础有一定要求。总体而言，这是一门高质量的进阶课程，但初学者可能需要额外努力。
课程提供LISREL指导，但部分学员希望更多实操。
"特别喜欢LISREL软件的实操部分。"
"LISREL软件的讲解也很到位，可以直接上手分析自己的数据了。"
"理论部分讲得很好，但是软件操作部分感觉可以更详细一些..."
"软件部分讲得不够细，对于初学者不太友好。"
"内容扎实...软件操作部分虽然有讲，但感觉实战性可以更强..."
教师专业且讲解到位，教学方式受欢迎。
"...老师的讲解也非常到位..."
"老师讲得非常细致，对结构方程模型的原理和应用讲得很透彻。"
"老师的教学方式很吸引人，例子也很恰当。"
"老师讲课语速适中，条理清晰。"
深度讲解SEM原理，条理清晰易理解。
"内容讲解非常清晰，理论与实际应用结合得很好..."
"老师讲得非常细致，对结构方程模型的原理和应用讲得很透彻。"
"这是一门非常棒的课程，深入浅出地讲解了结构方程模型。"
"内容扎实，理论深入。"
对统计和矩阵知识有要求，零基础者学习有挑战。
"唯一的缺点是对于完全零基础的同学来说，可能会觉得进度有点快..."
"内容质量很高，但感觉课程对学生的统计学和矩阵基础要求比描述中要高一些。"
"如果没有扎实的预备知识，学起来会比较吃力。"
"软件部分讲得不够细，对于初学者不太友好。"
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) with these
activities:
结构方程模型报告
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让你应用SEM技术解决实际问题，并展示你的分析和解释能力。
Browse courses on
LISREL
Show steps
-
收集数据并构建结构方程模型
-
使用LISREL软件分析模型
-
解释分析结果并撰写报告
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结构方程模型报告
Show steps
让你应用SEM技术解决实际问题，并展示你的分析和解释能力。
Browse courses on
LISREL
Show steps
Show steps
Show steps
- 收集数据并构建结构方程模型
- 使用LISREL软件分析模型
- 解释分析结果并撰写报告
Show all one activities
Career center
Learners who complete Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) will develop knowledge and skills
that may be useful to these careers:
Psychometrician
Psychometrician
A Psychometrician is a professional who develops and uses psychological tests. They use a variety of methods, including statistical analysis, data mining, and item response theory. As a Psychometrician, having a strong understanding of SEM is essential, as it is used to develop and validate psychological tests. By taking this course, you will learn how to use SEM to conduct psychometric studies. This knowledge will help you to develop and validate psychological tests.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. They use a variety of techniques, including statistical modeling, machine learning, and data visualization. As a Data Scientist, having a strong understanding of structural equation modeling (SEM) is crucial. SEM is a powerful statistical technique for understanding the relationships between observed variables and latent variables, which are variables that cannot be directly observed. By taking this course, you will learn the basic concepts of SEM and how to apply it to real-world data. This knowledge will give you a competitive advantage in the job market, as data science is one of the fastest-growing fields.
Statistician
Statistician
A Statistician is a professional who uses statistics to solve problems in a variety of fields, including science, engineering, and business. They use a variety of methods, including data analysis, statistical modeling, and machine learning. As a Statistician, having a strong understanding of SEM is helpful, as it is a powerful statistical technique that can be used to identify the relationships between different variables. By taking this course, you will learn the basic concepts of SEM and how to apply it to real-world data. This knowledge will give you a competitive advantage in the job market, as statisticians are in high demand.
Market Researcher
Market Researcher
A Market Researcher is a professional who studies consumer behavior to help businesses make informed decisions. They use a variety of methods, including surveys, interviews, and focus groups. As a Market Researcher, having a strong understanding of SEM is helpful, as it can be used to identify the factors that influence consumer behavior. By taking this course, you will learn how to use SEM to design and conduct market research studies. This knowledge will help you to develop effective marketing campaigns and make better decisions about product development.
Data Analyst
Data Analyst
A Data Analyst is a professional who uses data to identify trends and patterns. They use a variety of techniques, including data mining, statistical analysis, and data visualization. As a Data Analyst, having a strong understanding of SEM is helpful, as it can be used to identify the relationships between different variables. By taking this course, you will learn how to use SEM to conduct data analysis studies. This knowledge will help you to make better decisions about how to use data to improve business outcomes.
Survey Researcher
Survey Researcher
A Survey Researcher is a professional who designs and conducts surveys. They use a variety of methods, including questionnaire design, sampling, and data analysis. As a Survey Researcher, having a strong understanding of SEM is beneficial, as it can be used to identify the factors that are contributing to a survey response. By taking this course, you will learn how to use SEM to conduct survey research studies. This knowledge will help you to design and conduct surveys.
Business Analyst
Business Analyst
A Business Analyst is a professional who helps businesses to identify and solve problems. They use a variety of techniques, including data analysis, process mapping, and stakeholder interviews. As a Business Analyst, having a strong understanding of SEM is beneficial, as it can be used to identify the factors that are contributing to a business problem. By taking this course, you will learn how to use SEM to conduct business analysis studies. This knowledge will help you to make better decisions about how to improve business processes and solve problems.
Financial Analyst
Financial Analyst
A Financial Analyst is a professional who studies financial data. They use a variety of methods, including statistical analysis, data mining, and financial modeling. As a Financial Analyst, having a strong understanding of SEM is helpful, as it can be used to identify the relationships between different financial variables. By taking this course, you will learn how to use SEM to conduct financial analysis studies. This knowledge will help you to make better decisions about how to invest your money.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is a professional who uses mathematics and statistics to analyze financial data. They use a variety of methods, including statistical modeling, machine learning, and data visualization. As a Quantitative Analyst, having a strong understanding of SEM is beneficial, as it can be used to identify the relationships between different financial variables. By taking this course, you will learn how to use SEM to conduct financial analysis studies. This knowledge will help you to make better decisions about how to invest your money.
Epidemiologist
Epidemiologist
An Epidemiologist is a professional who studies the distribution and patterns of health-related events. They use a variety of methods, including statistical analysis, data mining, and geographic information systems. As an Epidemiologist, having a strong understanding of SEM is helpful, as it can be used to identify the factors that are contributing to health-related events. By taking this course, you will learn how to use SEM to conduct epidemiological studies. This knowledge will help you to make better decisions about how to prevent and treat health-related events.
Research Scientist
Research Scientist
A Research Scientist is a professional who conducts research in a variety of fields, including science, engineering, and medicine. They use a variety of methods, including experiments, simulations, and data analysis. As a Research Scientist, having a strong understanding of SEM is beneficial, as it can be used to identify the factors that are contributing to a research problem. By taking this course, you will learn how to use SEM to conduct research studies. This knowledge will help you to make better decisions about how to design and conduct research studies.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is a professional who develops and deploys machine learning models. They use a variety of tools and technologies, including programming languages, machine learning libraries, and cloud computing platforms. As a Machine Learning Engineer, having a strong understanding of SEM is helpful, as it can be used to identify the relationships between different features. By taking this course, you will learn how to use SEM to develop and deploy machine learning models. This knowledge will help you to make better decisions about how to use machine learning to solve business problems.
Economist
Economist
An Economist is a professional who studies the production, distribution, and consumption of goods and services. They use a variety of methods, including statistical analysis, mathematical modeling, and data visualization. As an Economist, having a strong understanding of SEM is helpful, as it can be used to identify the relationships between different economic variables. By taking this course, you will learn how to use SEM to conduct economic studies. This knowledge will help you to make better decisions about how to allocate resources and improve the economy.
Actuary
Actuary
An Actuary is a professional who uses mathematics and statistics to assess risk. They use a variety of methods, including statistical modeling, machine learning, and data visualization. As an Actuary, having a strong understanding of SEM is helpful, as it can be used to identify the relationships between different risk factors. By taking this course, you will learn how to use SEM to conduct risk assessments. This knowledge will help you to make better decisions about how to manage risk.
Data Engineer
Data Engineer
A Data Engineer is a professional who designs and builds data pipelines. They use a variety of tools and technologies, including databases, data warehouses, and data lakes. As a Data Engineer, having a strong understanding of SEM is helpful, as it can be used to identify the relationships between different data sources. By taking this course, you will learn how to use SEM to design and build data pipelines. This knowledge will help you to make better decisions about how to collect and store data.
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Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话).
Comprehensive guide to structural equation modeling (SEM) for business researchers and provides a thorough overview of the theory, application, and interpretation of SEM in business research.
In this book, an applied emphasis is maintained by considering the developmental processes that each of the example models represents and by considering the implications of the results found for each example model.
A textbook introducing students to structural equation modeling with a focus on the most frequently used SEM software packages, LISREL, PRELIS, and AMOS.
Introduces Bayesian structural equation modeling (BSEM) using empirical examples in a variety of disciplines, including social sciences, business, and health.
Follows the introductory textbook by the same authors, providing a foundation for understanding the more advanced topics of structural equation modeling (SEM) that are discussed.
Serves as an advanced and comprehensive guide to the applications of structural equation modeling (SEM) and covers advanced topics including constraints, nonlinear relations, power analysis, and estimation.
This handbook covers the entire field of structural equation modeling (SEM) in a single comprehensive volume, consisting of 65 chapters authored by the world’s leading SEM experts.
Provides an introduction to structural equation modeling (SEM) and covers the basics of SEM, including the different types of models, how to fit models, and how to interpret the results.
Provides a practical guide to structural equation modeling (SEM) and covers the most common situations encountered when using SEM, along with examples that demonstrate how to resolve each issue.
Covers the basics of structural equation modeling (SEM) and provides clear and concise explanations of the key concepts involved in SEM.
Provides a non-technical introduction to structural equation modeling (SEM) and covers the basics of SEM without any complex mathematics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/95lpb0/structural
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Effort
9 hours of videos and quizzes
Via
Coursera
Institution
The Chinese University of Hong Kong
Instructor
Prof. Kit Tai Hau 侯傑泰
Language
中文
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