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Sequence analysis and related approa...
~
Ritschard, Gilbert.
Sequence analysis and related approaches = innovative methods and applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Sequence analysis and related approaches/ edited by Gilbert Ritschard, Matthias Studer.
Reminder of title:
innovative methods and applications /
other author:
Ritschard, Gilbert.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xii, 298 p. :digital ; : 25 cm.;
Contained By:
Springer eBooks
Subject:
Longitudinal method. -
Online resource:
https://doi.org/10.1007/978-3-319-95420-2
ISBN:
9783319954202
Sequence analysis and related approaches = innovative methods and applications /
Sequence analysis and related approaches
innovative methods and applications /[electronic resource] :edited by Gilbert Ritschard, Matthias Studer. - Cham :Springer International Publishing :2018. - xii, 298 p. :digital ;25 cm. - Life course research and social policies,v.102211-7776 ;. - Life course research and social policies ;v.4..
Open access.
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.
ISBN: 9783319954202
Standard No.: 10.1007/978-3-319-95420-2doiSubjects--Topical Terms:
562081
Longitudinal method.
LC Class. No.: H62 / .S47 2018
Dewey Class. No.: 001.42
Sequence analysis and related approaches = innovative methods and applications /
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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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Social Sciences (Springer-41176)
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