Structural Equation Model and its Applications | 结构方程模型及其应用
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assignment Level : Introductory
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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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Lesson 1 Introduction 简介
Lesson 2 Exploratory vs. Confirmatory Factor Analysis 探索性与验证性因子分析Lesson 3 Basic Concepts 原理
Lesson 4 CFA overview 验证性因子分析(概述)
Lesson 4 CFA in details 验证性因子分析
Lesson 5 Multitrait-Multimethod Model 多质多法模型
Lesson 6 Full Model 全模型
Lesson 7 High-Order Factor Analysis 高阶因子分析
Lesson 8 Simplex Model 单纯形模型
Lesson 9 Multiple-Group SEM 多组SEM分析
Lesson 10 Issues in Model Specification and Analysis 结构方程建模和分析步骤
Lesson 11 Issues on Data 涉及数据的问题
Lesson 12 How to Read SPSS.sav into LISREL 读取SPSS数据


  • Kit Tai Hau 侯傑泰 - Department of Educational Psychology

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