结构方程模型的选择方法研究 一种基于贝叶斯准则的模型选择方法 英文版pdf电子书版本下载

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Chapter 1 Introduction 1

1.1 Overview 1

1.2 Lv Measure for Model Selection 3

1.3 Outline of the Book 5

Chapter 2 Lv Measure for Nonlinear Structural Equation Models 6

2.1 Introduction 6

2.2 Brief Review of the Lv Measure 7

2.3 Model Description 9

2.4 Lv Measure for Nonlinear Structural Equation Models 10

2.5 A Simulation Study 21

2.6 A Real Example 34

2.7 Discussion 38

Chapter 3 Lv Measure for Nonlinear Structural Equation Models with Mixed Continuous and Categorical Data 40

3.1 Introduction 40

3.2 Model Description 41

3.3 Lv Measure for Nonlinear SEMs with Mixed Continuous and Ordered Categorical Data 43

3.4 A Simulation Study 53

3.5 A Real Example 60

3.6 Discussion 65

Chapter 4 Lv Measure for Model Selection of Two-Level Structural Equation Models 66

4.1 Introduction 66

4.2 Model Description 68

4.3 Lv Measure for Two-Level Structural Equation Models 71

4.4 A Simulation Study 78

4.5 A Real Example 89

4.6 Discussion 93

Chapter 5 Lv Measure for Finite Mixture Structural Equation Models 94

5.1 Introduction 94

5.2 Model Description 95

5.3 Lv Measure for Finite Mixture SEMs 98

5.4 A Simulation Study 109

5.5 A Real Example 113

5.6 Discussion 116

Chapter 6 Conclusions and Further Developments 118

6.1 Conclusions 118

6.2 Discussion and Further Developments 119

Appendix A Variable Description in Real Examples 121

Appendix B WinBUGS and R2winBUGS 122

Appendix C WinBUGS and R2winBUGS Program in Chapter 3 130

References 139

Acknowledgement 145