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Sequence Analysis and Related Approaches

Innovative Methods and Applications

  • Book
  • Open Access
  • © 2018

You have full access to this open access Book


  • Provides new perspectives and methods for sequence analysis
  • Focusses on the link between sequence analysis and other methods for longitudinal data, especially event history analysis and Markov models
  • Stresses the complementarity of sequence analysis and other models for longitudinal data
  • Applications of sequence analysis in a whole range of different domains

Part of the book series: Life Course Research and Social Policies (LCRS, volume 10)

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Table of contents (17 chapters)

  1. About Different Longitudinal Approaches in Longitudinal Analysis

  2. Sequence Analysis and Event History Analysis

  3. The Sequence Network Approach

  4. Unfolding the Process

  5. Advances in Sequence Clustering


About this book

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.


“The book will be interesting for methodologically interested researchers of many different disciplines that are interested in longitudinal research, such as demography, sociology, psychology, educational science, health research, political science, maybe also economics. … sequence analysis reaches out to quantitative as well as qualitative researchers. This book remarks the final position in the series on books dealing with sequence analysis.” (Christian Brzinsky‑Fay, European Journal of Population, Vol. 35, 2019)

Editors and Affiliations

  • NCCR LIVES and Geneva School of Social Sciences, University of Geneva, Geneva, Switzerland

    Gilbert Ritschard, Matthias Studer

About the editors

Gilbert Ritschard, PhD in Econometrics, is Professor Emeritus at the Geneva School of Social Sciences of the University of Geneva. He has carried out teaching and research in data analysis and statistical modeling for social sciences, including longitudinal data analysis, event history analysis, and sequence analysis. He is a co-editor of volumes 1 and 2 of "Advances in Knowledge Discovery", (Springer, 2010, 2012), and of "Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences" (Routledge, 2013). He published recently among others in Sociological Methods and Research, the Journal of the Royal Statistical Society A, The American Statistician, and the Journal of Statistical Software. His recent applied contributions concern life course studies. He currently leads a methodological project within the Swiss NCCR “LIVES: Overcoming vulnerability, life course perspectives,” and develops with his team the now worldwide used TraMineR toolkit for the exploration of state and event sequence data.

Matthias Studer, PhD in socioeconomics, is a Senior Researcher at the Swiss NCCR program ``LIVES overcoming vulnerability: life course perspectives'' and a Lecturer at the Geneva School of Social Sciences of the University of Geneva. His research interests include quantitative methods for longitudinal data analysis, sequence analysis, gendered career inequalities, labor market and social policy evaluation. He is one of the TraMineR developers, and he recently published on Discrepancy Analysis in Sociological Methods \& Research and a comparison of sequence analysis distance measures in the Journal of the Royal Statistical Society: Series A.

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