Wiley Series in Probability and Statistics
Appendix 1.B Maximum Likelihood Function for SEM
Chapter 2: Confirmatory Factor Analysis
2.2 CFA Model with Continuous Indicators
2.3 CFA Model with Non-Normal and Censored Continuous Indicators
2.4 CFA Model with Categorical Indicators
Appendix 2.A BSI-18 Instrument
Appendix 2.C Cronbach's Alpha Coefficient
Appendix 2.D Calculating Probabilities Using PROBIT Regression Coefficients
Chapter 3: Structural Equations with Latent Variables
3.3 Correcting for Measurement Errors in Single Indicator Variables
3.4 Testing Interactions Involving Latent Variables
Appendix 3.A Influence of Measurement Errors
Chapter 4: Latent Growth Models for Longitudinal Data Analysis
4.5 LGM with Categorical Outcomes
Chapter 5: Multi-Group Modeling
Appendix 6.A Including covariate in the LTA model
Chapter 7: Sample Size for Structural Equation Modeling
7.1 The Rules of Thumb for Sample Size Needed for SEM
7.2 Satorra and Saris's Method for Sample Size Estimation
7.3 Monte Carlo Simulation for Sample Size Estimation