Overview
- 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)
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Front Matter
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About Different Longitudinal Approaches in Longitudinal Analysis
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Front Matter
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Sequence Analysis and Event History Analysis
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Front Matter
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The Sequence Network Approach
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Front Matter
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Advances in Sequence Clustering
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Front Matter
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Keywords
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.
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Editors and Affiliations
About the editors
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
Book Title: Sequence Analysis and Related Approaches
Book Subtitle: Innovative Methods and Applications
Editors: Gilbert Ritschard, Matthias Studer
Series Title: Life Course Research and Social Policies
DOI: https://doi.org/10.1007/978-3-319-95420-2
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018
Hardcover ISBN: 978-3-319-95419-6Published: 29 October 2018
Softcover ISBN: 978-3-030-07034-2Published: 25 January 2019
eBook ISBN: 978-3-319-95420-2Published: 17 October 2018
Series ISSN: 2211-7776
Series E-ISSN: 2211-7784
Edition Number: 1
Number of Pages: XII, 298
Number of Illustrations: 24 b/w illustrations, 26 illustrations in colour
Topics: Methodology of the Social Sciences, Statistics for Social Sciences, Humanities, Law, Population Economics, Life course