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Mplus: A beginner’s course in longitudinal data analysis

14th September 2018 @ 8:00 am - 5:00 pm


Organised by CambridgeSEM, Selwyn College, Cambridge
Presenter Dr Gabriela Roman
Date 14/09/2018 – 16/09/2018
Venue Selwyn College, University of Cambridge, Grange Road, Cambridge
Map View in Google Maps  (CB3 9DQ)
Contact Gabriela: [email protected]
Description 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: https://mpluscambridge.com/

Level Entry (no or almost no prior knowledge)
Cost £395
Website and registration
Region East of England
Keywords Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis, Cross-lagged panel models, Growth curve models, Growth mixture models, Latent class growth analysis, Latent Variable Models, Latent class analysis, Factor analysis, Confirmatory factor analysis, Structural equation models
Related publications and presentations Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis
Cross-lagged panel models
Growth curve models
Growth mixture models
Latent class growth analysis
Latent Variable Models
Latent class analysis
Factor analysis
Confirmatory factor analysis
Structural equation models


14th September 2018
8:00 am - 5:00 pm
NINE DTP - a collaborative partnership funded by the ESRC