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Table of contents

  1. Front Matter
    Pages i-xii
  2. Gilbert Ritschard, Matthias Studer
    Pages 1-11 Open Access
  3. About Different Longitudinal Approaches in Longitudinal Analysis

  4. Sequence Analysis and Event History Analysis

    1. Front Matter
      Pages 47-47
    2. Lydia Malin, Ramsey Wise
      Pages 49-68 Open Access
    3. Erling Häggström Lundevaller, Lotta Vikström, Helena Haage
      Pages 69-81 Open Access
    4. Florence Rossignon, Matthias Studer, Jacques-Antoine Gauthier, Jean-Marie Le Goff
      Pages 83-100 Open Access
  5. The Sequence Network Approach

    1. Front Matter
      Pages 101-101
    2. Benjamin Cornwell
      Pages 103-120 Open Access
  6. Unfolding the Process

    1. Front Matter
      Pages 147-147
    2. Thomas Collas
      Pages 149-166 Open Access
    3. Satu Helske, Jouni Helske, Mervi Eerola
      Pages 185-200 Open Access
  7. Advances in Sequence Clustering

    1. Front Matter
      Pages 201-201
    2. Zhivko Taushanov, André Berchtold
      Pages 203-222 Open Access
    3. Matthias Studer
      Pages 223-239 Open Access
    4. Ivano Bison, Alessandro Scalcon
      Pages 241-257 Open Access
  8. Appraising Sequence Quality

    1. Front Matter
      Pages 259-259
    2. Anna Manzoni, Irma Mooi-Reci
      Pages 261-278 Open Access
    3. Gilbert Ritschard, Margherita Bussi, Jacqueline O’Reilly
      Pages 279-295 Open Access
  9. Back Matter
    Pages 297-298

About this book

Introduction

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

Editors and affiliations

  • Gilbert Ritschard
    • 1
  • Matthias Studer
    • 2
  1. 1.NCCR LIVES and Geneva School of Social SciencesUniversity of GenevaGenevaSwitzerland
  2. 2.NCCR LIVES and Geneva School of Social SciencesUniversity of GenevaGenevaSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-95420-2
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2018
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-95419-6
  • Online ISBN 978-3-319-95420-2
  • Series Print ISSN 2211-7776
  • Series Online ISSN 2211-7784
  • Buy this book on publisher's site