Higher-Order Growth Curves and Mixture Modeling with Mplus

Higher-Order Growth Curves and Mixture Modeling with Mplus

A Practical Guide

Wickrama, Kandauda; Lorenz, Frederick; O'Neal, Catherine Walker; Lee, Tae Kyoung

Taylor & Francis Ltd

11/2021

326

Dura

Inglês

9780367746209

15 a 20 dias

800

Descrição não disponível.
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]
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Be;Curve-of-factors;GMM;Fit indices;Growth Curve Model;Latent classes;LGCM;Confimatory Factor Analysis;Optimal Class Model;Latent construct;Model Fit Indices;Factor-of-curves;Hostility Symptoms;Dyadic models;Primary Growth Factors;Longitudinal analysis;Longitudinal Confirmatory Factor Analysis;Measurement invariance;Weak Invariance Model;Growth curves;Latent Class Variable;Panel data;Linear LGCM;Parallel Process;Tic;Second-order growth curves;Negative Life Events;Structural equation modeling (SEM);ZI Model;Trajectories;Latent Growth Curve;Ppm;Latent Trajectory Class;Antisocial Behavior;Strong Invariance Model;CFA Model;TVC;LCGA;Conditional LGCM;Continuous Latent Response Variable