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  • Book
  • Open Access
  • © 2018

Sequence Analysis and Related Approaches

Innovative Methods and Applications

  • 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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Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (17 chapters)

  1. Front Matter

    Pages i-xii
  2. Sequence Analysis: Where Are We, Where Are We Going?

    • Gilbert Ritschard, Matthias Studer
    Pages 1-11Open Access
  3. About Different Longitudinal Approaches in Longitudinal Analysis

    1. Front Matter

      Pages 13-13
    2. Case Studies of Combining Sequence Analysis and Modelling

      • Mervi Eerola
      Pages 35-46Open Access
  4. Sequence Analysis and Event History Analysis

    1. Front Matter

      Pages 47-47
    2. Glass Ceilings, Glass Escalators and Revolving Doors

      • Lydia Malin, Ramsey Wise
      Pages 49-68Open Access
    3. Modelling Mortality Using Life Trajectories of Disabled and Non-Disabled Individuals in Nineteenth-Century Sweden

      • Erling Häggström Lundevaller, Lotta Vikström, Helena Haage
      Pages 69-81Open Access
    4. Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event

      • Florence Rossignon, Matthias Studer, Jacques-Antoine Gauthier, Jean-Marie Le Goff
      Pages 83-100Open Access
  5. The Sequence Network Approach

    1. Front Matter

      Pages 101-101
    2. Network Analysis of Sequence Structures

      • Benjamin Cornwell
      Pages 103-120Open Access
  6. Unfolding the Process

    1. Front Matter

      Pages 147-147
    2. Multiphase Sequence Analysis

      • Thomas Collas
      Pages 149-166Open Access
    3. Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data

      • Satu Helske, Jouni Helske, Mervi Eerola
      Pages 185-200Open Access
  7. Advances in Sequence Clustering

    1. Front Matter

      Pages 201-201
    2. Markovian-Based Clustering of Internet Addiction Trajectories

      • Zhivko Taushanov, André Berchtold
      Pages 203-222Open Access
    3. From 07.00 to 22.00: A Dual-Earner Couple’s Typical Day in Italy

      • Ivano Bison, Alessandro Scalcon
      Pages 241-257Open Access

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.

Keywords

  • life course
  • longitudinal data
  • life, family and work trajectories
  • population dynamics
  • gendered occupational trajectories
  • Markov models
  • multistate models
  • network-based sequence analysis
  • dual-earner couples
  • open access
  • survival analysis

Reviews

“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.

Bibliographic Information

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)