Mplus: A beginner's course in longitudinal data analysis


13/09/2019 - 15/09/2019

Organised by:

CambridgeSEM, Selwyn College, Cambridge


Dr Gabriela Roman


Entry (no or almost no prior knowledge)




View in Google Maps  (CB3 9DQ)


Selwyn College, University of Cambridge, Grange Road, Cambridge


This 3-day course is a beginner's course in SEM with Mplus. It is hosted by Selwyn College, University of Cambridge. The only prerequisites needed for this course are: to be familiar with the general structure of the input and output files of Mplus; knowledge about confirmatory factor analysis; (optional): knowledge about measurement invariance.

The first day provides an introduction to longitudinal data analysis and includes auto-regressive models and longitudinal factor analysis with invariance constraints. The second day is focused on individual trajectories over time and includes linear, quadratic and piecewise growth models. The third day is focused on group-based trajectory models and includes latent class growth models, growth mixture models and longitudinal latent class analysis. You can find further details here:



Website and registration:


East of England


Regression Methods, Linear regression, Longitudinal Data Analysis, Cross-lagged panel models, Growth curve models, Growth mixture models, Latent class growth analysis, Latent Variable Models, Factor analysis, Confirmatory factor analysis, Structural equation models

Related publications and presentations:

Regression Methods
Linear regression
Longitudinal Data Analysis
Cross-lagged panel models
Growth curve models
Growth mixture models
Latent class growth analysis
Latent Variable Models
Factor analysis
Confirmatory factor analysis
Structural equation models

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