目录 Chapter 1 Introduction 1.1 Applied Linguistics and SEM in Applied Linguistics 1.2 Big Data Corpora and the Extraction of Small Data 1.3 Amos and Its Uses in SEM 1.4 Summary Chapter 2 Parameter Estimation and Test 2.1 Estimation of Parameters 2.2 Test of Parameters 2.3 Summary Chapter 3 Path Models 3.1 Types of Elementary Path Models 3.2 Examples of the Analysis of Path Models 3.3 Summary Chapter 4 Factor Analysis Models and Structural Regression Models 4.1 Factor Analysis Models 4.2 Structural Regression Models 4.3 Summary Chapter 5 Data Imputation 5.1 Regression Imputation 5.2 Stochastic Regression Imputation 5.3 Bayesian Imputation 5.4 Multiple Imputation 5.5 Summary Chapter 6 Analyses with Censored and Ordered-Category Data 6.1 Analyses with Censored Data 6.2 Analyses with Ordered-Category Data 6.3 Summary Chapter 7 Bootstrapping 7.1 Bootstrapping Used in Model Comparison 7.2 Bootstrapping Used in Estimation Method Comparison 7.3 Summary References
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