Higher-Order Growth Curves and Mixture Modeling with Mplus

This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps.

Auteur

Kandauda A. S. Wickrama is a Professor in the Department of Human Development and Family Science at the University of Georgia, USA. Tae Kyoung Lee is a Lead Research Analyst at the University of Miami in the Department of Public Health Sciences, USA. Catherine Walker O'Neal is an Associate Research Scientist at the University of Georgia in the Department of Human Development and Family Science, USA. Frederick O. Lorenz is a University Professor Emeritus of Statistics and Psychology at Iowa State University, USA.

Contenu

1 Introduction 2 Latent Growth Curves 3 Longitudinal Confirmatory Factor Analysis and Curve-of-Factors Growth Curve Models 4 Estimating Curve-of-Factors Growth Curve Models 5 Extending a Parallel Process Latent Growth Curve Model (PPM) to a Factor-of-Curves Model (FCM) 6 Estimating a Factor-of-Curves Model (FCM) and Adding Covariates 7 An Introduction to Growth Mixture Models (GMM) 8. Estimating a Conditional Growth Mixture Model (GMM) 9 Second-Order Growth Mixture Models (SOGMMs) 10. Growth Curve Analysis with Categorical Outcomes [NEW CHAPTER] 11. Higher-order Growth Curve Analysis with Categorical Outcomes [NEW CHAPTER]