YouthLife Training Course: Causal Analysis with Longitudinal Data


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From Wednesday, 26th January to Friday, 28th January 2022, an intensive three-day advanced training course in methods of quantitative longitudinal data analysis will take place via ZOOM and using a remote data-processing system RemoteNEPS Gateway. 

This course aims to advance knowledge and skills of researchers and ESRs in the usage of causal models and causal evidence in longitudinal data analysis. 

During the first day, Emeritus of Excellence Hans-Peter Blossfeld and Gwendolin Blossfeld from the University of Bamberg will introduce the opportunities and limitations of causal inference based on observational and randomized controlled trial (RCT) data (fixed and random effects models). 

The second day is focusing at Latent Growth Models with a Structural Equation Modelling (SEM) approach, when Prof. Tenko Raykov from Michigan State University will introduce applications of latent variable modelling to behavioural development across the life span using examples from psychology and the software MPlus. 

Finally, during the third day Prof. Juho Härkönen from the European University Institute will teach the method of Growth Curve Modelling with fixed and random effects models applying sociological examples using the software Stata.


The training course is organised by the University of Bamberg in cooperation with ‘Research Data Center (FDZ)’ at the Leibniz Institute for Educational Trajectories (LIfBi) in the framework of the YouthLife project which has received funding from the European Union´s Horizon 2020 research and innovation programme under grant agreement No 952083.