YouthLife Training Course: Quantitative Descriptive Methods of Longitudinal Data


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From Monday, 18th October 2021 to Wednesday, 20th October, an intensive three-day advanced training school in quantitative descriptive methods for analysing longitudinal data will take place via ZOOM and using a remote data-processing system for handling the data from the National Educational Panel Study (NEPS) and the German Life History Study (GLHS). 

Over the last two decades, the methods of sequence and event history analysis have gained in importance in the social sciences due to the increasing availability of longitudinal data. This course aims to advance knowledge and skills of researchers and ESRs in the quantitative descriptive methods of continuous-time and discrete-time event analysis as well as sequence analysis. Practical exercises comprise analysis in Stata of the duration of unemployment phases and the length of time children live with their parents as examples for the data that provides information on the exact durations leading up to a change of a state and their sequence (i.e. event history data).

The training course is organised by the University of Bamberg (UNI BA) in cooperation with ‘Research Data Center (FDZ)’ at the Leibniz Institute for Educational Trajectories (LIfBi) and carried out by Prof. Hans-Peter Blossfeld and Dr.  Gwendolin J. Blossfeld from UNI BA and Dr. Lydia Kleine from FDZ at LIfBi. The advanced training course is organised 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.