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MORE ABOUT THIS BOOK
Main description:
- The first practical introduction to second-order and growth mixture models using Mplus 8.4
-Introduces simple and complex models through incremental steps with increasing complexity
-Each model is presented with figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results, to maximize understanding.
- Second-order and growth mixture modeling is increasingly being used in various disciplines to analyze changes in individual attributes such as personal behaviors and relationships over time
Contents:
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]
PRODUCT DETAILS
Publisher: Taylor & Francis (Routledge)
Publication date: November, 2021
Pages: 376
Weight: 800g
Availability: Available
Subcategories: Epidemiology