Sequence Analysis

Date & Time

From: 13 October 2021
Until: 14 October 2021




Online only





Limited seats available, should you be interested in attending this course, please email us at: and we will get back to you and confirm availability.

Trainer: Matthias Studer

Associate Professor, LIVES Centre and Institute of Demographics and Socioeconomics, University of Geneva.

Please click here for CV

Trainer Assistance: Bozena Wielgoszewska

Research Associate at Centre for Longitudinal Studies, UCL

Course description:

The methodological workshop provides a two-day course on sequence analysis, a methodological framework to study trajectories described as a sequence of categorical states, such as familial or professional trajectories. The workshop is aimed to a large audience, starting with a general overview on the uses of sequence analysis in the social sciences and how to define trajectories in a life course perspective. It then presents descriptive and visualization methods, before moving to the creation of a typology of trajectories focusing on the different choices to be made (cluster algorithms, distance measures, cluster quality measures). The course also discusses data management for sequence analysis, missing data handling and multichannel sequence analysis. Each theoretical presentation is followed by practical sessions on how to run all the presented analysis using R, TraMineR and WeightedCluster. The workshop also includes a short introduction to R for those not familiar with the software.

Skill requirement:

Prior knowledge of a statistical software (not necessarily R). (Understanding of regression models is recommended.

Masterclass agenda:

Wed. October 13Thurs. October 14
09.00 – 10:15 General Introduction to sequence analysis and short introduction to R 09.00 – 10:15 Optimal matching, other distance measures, and multichannel sequence analysis
10.15 – 10.45 Break 10.15 – 10.45 Break
10.45 – 12.00 Descriptive sequence analysis and visualization I 10.45 – 12.00 Advanced clustering technic
12.00 – 13.15 Lunch 12.00 – 13.15 Lunch
13.15 – 14.30 Descriptive sequence analysis and visualization II 13.15 – 14.30 Discrepancy analysis and multidimensional scaling
14.30 – 15.00 Break 14.30 – 15.00 Break
15.00 – 16.15 Clustering states sequences using Hamming distances 15.00 – 16.15 Missing data & longitudinal data management