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020 _a9783319954202 (ebook)
020 _a9783319954196
024 7 _a10.1007/978-3-319-95420-2
_2doi
040 _aSpringer Nature Metadata
_beng
_cMIU
_dMIU_ain
050 4 _aH62 .S47 2018
072 7 _aJHBC
_2bicssc
072 7 _aSOC019000
_2bisacsh
072 7 _aJHBC
_2thema
245 1 0 _aSequence analysis and related approaches :
_binnovative methods and applications /
_cedited by Gilbert Ritschard, Matthias Studer.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXII, 298 p. 50 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLife Course Research and Social Policies,
_x2211-7776 ;
_v10
505 0 _aSequence 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 Jacqueline O’Reilly -- Subject Index.
506 0 _aOpen Access
520 _aThis 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.
650 0 _aSocial sciences.
650 0 _aStatistics .
650 0 _aPopulation.
650 0 _aLife cycle, Human.
650 1 4 _aMethodology of the Social Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/X17000
650 2 4 _aStatistics for Social Sciences, Humanities, Law.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17040
650 2 4 _aPopulation Economics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/W38000
650 2 4 _aLife course.
_0https://scigraph.springernature.com/ontologies/product-market-codes/X22310
700 1 _aRitschard, Gilbert.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aStuder, Matthias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319954196
776 0 8 _iPrinted edition:
_z9783319954219
776 0 8 _iPrinted edition:
_z9783030070342
830 0 _aLife Course Research and Social Policies,
_x2211-7776 ;
_v10
856 4 0 _uhttps://doi.org/10.1007/978-3-319-95420-2
942 _2lcc
_cBK