| 000 | 03275naaaa2200397uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/35810 | ||
| 005 | 20220219233003.0 | ||
| 020 | _a978-3-319-95420-2 | ||
| 024 | 7 |
_a10.1007/978-3-319-95420-2 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aJHB _2bicssc |
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| 072 | 7 |
_aJHBC _2bicssc |
|
| 072 | 7 |
_aKCP _2bicssc |
|
| 100 | 1 |
_aRitschard, Gilbert _4edt |
|
| 700 | 1 |
_aStuder, Matthias _4edt |
|
| 700 | 1 |
_aRitschard, Gilbert _4oth |
|
| 700 | 1 |
_aStuder, Matthias _4oth |
|
| 245 | 1 | 0 | _aSequence Analysis and Related Approaches : Innovative Methods and Applications |
| 260 |
_aCham _bSpringer Nature _c2018 |
||
| 300 | _a1 electronic resource (298 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online 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. ; 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 | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0 _2cc _4https://creativecommons.org/licenses/by/4.0 |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aSociology _2bicssc |
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| 650 | 7 |
_aSocial research & statistics _2bicssc |
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| 650 | 7 |
_aPolitical economy _2bicssc |
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| 653 | _aSocial sciences | ||
| 653 | _aSocial sciences | ||
| 653 | _aStatistics | ||
| 653 | _aPopulation | ||
| 653 | _aLife cycle, Human | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://library.oapen.org/bitstream/20.500.12657/23137/1/1007017.pdf _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/35810 _70 _zDOAB: description of the publication |
| 999 |
_c51039 _d51039 |
||