| 书目名称 | Sequence Analysis and Related Approaches | | 副标题 | Innovative Methods a | | 编辑 | Gilbert Ritschard,Matthias Studer | | 视频video | | | 概述 | 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. | | 丛书名称 | Life Course Research and Social Policies | | 图书封面 |  | | 描述 | .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. | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2018 | | 关键词 | life course; longitudinal data; life, family and work trajectories; population dynamics; gendered occupa | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-95420-2 | | isbn_softcover | 978-3-030-07034-2 | | isbn_ebook | 978-3-319-95420-2Series ISSN 2211-7776 Series E-ISSN 2211-7784 | | issn_series | 2211-7776 | | copyright | The Editor(s) (if applicable) and The Author(s) 2018 |
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发表于 2025-3-21 19:35:53
