Data Analysis with Mplus

摘要: 1. Data Management in SPSS 1.1 Coding Missing Values 1.2 Exporting an ASCII File for Mplus 2. Reading into 2.1 Importing and Analyzing Individual (Raw Data) 2.1.1 Basic Structure of the Syntax Analysis 2.1.2 Output 2.2 Summary (Covariance or Correlation Matrices) 3. Linear Structural Equation Models 3.1 What are SEMs? 3.2 Simple Regression with Manifest Variables 3.3 Latent 3.4 Confirmatory Factor 3.4.1 First-Order CFA 3.4.2 Second-Order 3.5 Path Mediator 3.5.1 Introduction 3.5.2 3.5.3 3.5.4 4. Measuring Variability Change 4.1 State 4.1.1 LS versus LST 4.1.2 4.1.3 Modeling Indicator-Specific Effects 4.1.4 Testing Measurement Invariance across Time 4.2 4.3 Autoregressive 4.3.1 4.3.2 4.4 4.5 Growth Curve 4.5.1 LGCMs 4.5.2 5. Multilevel 5.1 to 5.2 Specification 5.3 Option two level basic 5.4 Random Intercept 5.4.1 Null Model (Intercept-Only Model) 5.4.2 One-Way ANCOVA 5.4.3 Means-as-Outcomes 5.5 Slope 5.5.1 Coefficient 5.5.2 Intercepts-and-Slopes-as-Outcomes 6. Class 6.1 6.2 LCA 6.3 Fit Assessment Comparisons 6.3.1 Absolute 6.3.2 Relative 6.3.3 Interpretability Appendix A: Key Commands Discussed This Book B: Common Mistakes Input Setup Troubleshooting C: Further Readings