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.
Reviews / Votes
"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)
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
24 s/w Abbildungen, 26 farbige Abbildungen
XII, 298 p. 50 illus., 26 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 22 mm
Weight
ISBN-13
978-3-319-95419-6 (9783319954196)
DOI
10.1007/978-3-319-95420-2
Schweitzer Classification
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.
Sequence Analysis: Where Are We, Where Are We Going?:Gilbert Ritschard and Matthias Studer.- Part I About Different Longitudinal Approaches in Longitudinal Analysis: Do Different Approaches in Population Science Lead to Divergent or Convergent Models?.- Daniel Courgeau.- Case Studies of Combining Sequence Analysis and Modelling: Mervi Eerola.- Part II Sequence Analysis and Event History Analysis: Glass Ceilings, Glass Escalators and Revolving Doors: Lydia Malin and Ramsey Wise.- Modelling Mortality Using Life Trajectories of Disabled andNon-Disabled Individuals in 19th-Century Sweden: Erling Ha¨ggstro¨m Lundevaller, Lotta Vikstro¨m, and Helena Haage.- Sequence History Analysis (SHA): Estimating the Effect of Past Trajectories on an Upcoming Event: Florence Rossignon, Matthias Studer, Jacques-Antoine Gauthier and Jean-Marie Le Goff.- Part III The Sequence Network Approach: Network Analysis of Sequence Structures: Benjamin Cornwell.- Relational Sequence Networks as a Tool for Studying Gendered Mobility Patterns: Klaus Hamberger.- Part IV Unfolding the Process: Multiphase Sequence Analysis: Thomas Collas.- Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design: Camilla Borgna and Emanuela Struffolino.- Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data: Satu Helske, Jouni Helske, and Mervi Eerola.- Part V Advances in Sequence Clustering: Markovian-based Clustering of Internet Addiction Trajectories: Zhivko Taushanov and Andre´ Berchtold.- Divisive Property-Based and Fuzzy Clustering for Sequence Analysis: Matthias Studer.- From 07.00 to 22.00: A Dual-Earner Couple's Typical Day in Italy: Ivano Bison and Alessandro Scalcon.- Part VI Appraising Sequence Quality: Measuring Sequence Quality: Anna Manzoni and Irma Mooi-Reci.- An Index of Precarity for Measuring Early Employment Insecurity: Gilbert Ritschard, Margherita Bussi, and JacquelineO'Reilly.- Subject Index.
