包邮大数据科学之应用产业研究丛书大数据时代应用语言学研究中的结构方程建模(英文版)

Contents
Chapter 1 Introduction 1
1.1 Applied Linguistics and SEM in Applied Linguistics 1
1.2 Big Data Corpora and the Extraction of Small Data 4
1.3 Amos and Its Uses in SEM 25
1.4 Summary 38
Chapter 2 Parameter Estimation and Test 39
2.1 Estimation of Parameters 39
2.2 Test of Parameters 46
2.3 Summary 51
Chapter 3 Path Models 52
3.1 Types of Elementary Path Models 52
3.2 Examples of the Analysis of Path Models 55
3.3 Summary 88
Chapter 4 Factor Analysis Models and Structural Regression Models 90
4.1 Factor Analysis Models 90
4.2 Structural Regression Models 112
4.3 Summary 127
Chapter 5 Data Imputation 129
5.1 Regression Imputation 129
5.2 Stochastic Regression Imputation 133
5.3 Bayesian Imputation 135
5.4 Multiple Imputation 137
5.5 Summary 140
Chapter 6 Analyses with Censored and Ordered-Category Data 141
6.1 Analyses with Censored Data 141
6.2 Analyses with Ordered-Category Data 148
6.3 Summary 157
Chapter 7 Bootstrapping 158
7.1 Bootstrapping Used in Model Comparison 158
7.2 Bootstrapping Used in Estimation Method Comparison 164
7.3 Summary 169
References 170