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Classes will run from 9:00AM to 5:00PM each day.
July 8-9:
Introduction to Latent Growth Curve Modeling and Mplus
Participants will be introduced to the analysis of nested data structures, including family and longitudinal data and will learn how to use the Mplus software.
Day 1. Introduction to multilevel models; Introduction to structural equation modeling using Mplus
Day 2. Introduction to studying change and latent growth curve modeling
July 10-11:
Advanced Latent Growth Curve Modeling using Mplus
This Institute will review latent growth curve modeling using the Mplus software and feature the extension of these basic models for multivariate outcomes, time-varying predictors, ordered categorical outcomes, and growth mixtures (i.e., group differences in trajectories).
Day 1. Specification and evaluation of the latent growth model; Including predictors and sequelae of change; Analyzing and comparing growth in multiple populations; Growth curves with binary and count variables
Day 2. Multivariate analysis of change; Piecewise and pooled interrupted time series latent growth models; Estimation with incomplete data; Introduction to growth mixture modeling.
Please refer all questions about the agenda/program to:
Andrea Piccinin
andrea.piccinin@oregonstate.edu |