Messung der Verletzbarkeit

IP214 (ex-IP14)

Projectleiter: Gilbert Ritschard

IP214 dient dazu, den Teilnehmenden des NFS LIVES hohe methodologische Kompetenzen in der Datensammlung und -bearbeitung sowie fortgeschrittene statistische Instrumente zur Analyse der Prozesse der Verletzbarkeit und Widerstandsfähigkeit im Lebensverlauf zu vermitteln. Das Projekt führt die beiden bisherigen methodologischen IP mit vereinten Kräften weiter. Während IP14 sich in der Phase 1 (2011-2014) auf die Entwicklung longitudinaler Methoden zur Erforschung von Lebensverläufen, insbesondere die Sequenzanalyse, konzentrierte, wollen wir in Phase 2 (2015-2018) aus analytischer Betrachtung den Schwerpunkt auf die Verletzbarkeit als Zustand, Risiko und Prozess legen. Die Arbeit an der Qualität der Umfragedaten, die IP15 in Phase 1 durchführte, wird in Phase 2 weitergeführt, wobei weiterhin grosse Aufmerksamkeit auf die Prozesse der Datengewinnung hinsichtlich Verletzbarkeit gelegt wird.

>> Softwares

Team:
Prof. André Berchtold, Prof. Paolo Ghisletta, Prof. Dominique Joye, Prof. Michel Oris, Prof. Caroline Roberts
Dr. Stephen Aichele, Dr. Reto Bürgin, Dr. Delphine Courvoisier, Dr. Pascal Gaberel, Dr. Brian Kleiner, Dr. Fabio Losa, Dr. Adrien Remund, Dr. Reto Schumacher, Dr. Matthias Studer
Henning Atzamba, Sophie Rossillion

DoktorandINen:
Pauline Adamopoulou, Dan Orsholits, Emmanuel Rousseaux, Serguei Rouzinov, Rosa Sánchez Tomé, Zhivko Taushanov

Nachrichten des IP214

Veröffentlichungen

Ausgewählte Publikationen

Studer, M., & Ritschard, G.. (2016). What matters in differences between life trajectories: A comparative review of sequence dissimilarity measures. Journal of the Royal Statistical Society: Series A (Statistics in Society), 179(2), 481-511. doi:10.1111/rssa.12125
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Bürgin, R., & Ritschard, G.. (2015). Tree-based varying coefficient regression for longitudinal ordinal responses. Computational Statistics and Data Analysis, 86, 65-80. doi:10.1016/j.csda.2015.01.003
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Bolano, D., & Berchtold, A.. (2016). General framework and model building in the class of Hidden Mixture Transition Distribution models. Computational Statistics & Data Analysis, 93, 131-145. doi:10.1016/j.csda.2014.09.011
PDF icon Article (PDF) (488.77 KB)

Andere Publikationen

Gabadinho, A., & Ritschard, G.. (2016). Analyzing state sequences with probabilistic suffix trees: the PST R package. Journal of Statistical Software, 72(3), 1-39. doi:doi:10.18637/jss.v072.i03
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Berchtold, A. (2016). Test–retest: Agreement or reliability?. Methodological Innovations, 9, 1-7. doi:10.1177/2059799116672875
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Taushanov, Z., & Berchtold, A.. (2017). A direct local search method and its application to a markovian model. Statistics, optimization and information computing, 5, 19-34. doi:10.19139/soic.v5i1.253
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Joye, D., Wolf, C., Smith, T., & Fu, Y. -chih. (2016). Survey methodology: challenges and principles. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (S. 3-15). London, UK: SAGE. doi:10.4135/9781473957893.n1
PDF icon Chapter (PDF) (77.96 KB)
Loosveldt, G., & Joye, D.. (2016). Defining and assessing survey climate. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (S. 67-76). London, UK: SAGE. doi:10.4135/9781473957893.n6
PDF icon Chapter (PDF) (100.47 KB)
Schneider, S. L. (2016). When translation is not enough: background variables in comparative surveys. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (S. 288-308). London, UK: SAGE. doi:10.4135/9781473957893.n20
PDF icon Chapter (PDF) (1.08 MB)
Ernst Stähli, M., & Joye, D.. (2016). Incentives as a possible measure to increase response rates. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (S. 425-440). London: SAGE. doi:10.4135/9781473957893.n28
PDF icon Chapter (PDF) (206.35 KB)
Wolf, C., Schneider, S. L., Behr, D., & Joye, D.. (2016). Harmonizing survey questions between cultures and over time. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (S. 502-524). London, UK: SAGE. doi:10.4135/9781473957893.n33
PDF icon Chapter (PDF) (594.25 KB)
Roberts, C. (2016). Response styles in surveys: Understanding their causes and mitigating their impact on data quality. In C. Wolf, Joye, D., Smith, T., & Fu, Y. -chih, The SAGE Handbook of Survey Methodology (S. 579-598). London: SAGE. doi:10.4135/9781473957893.n36
PDF icon Chapter (PDF) (100.75 KB)
Bachmann, L., Gaberel, P., & Modak, M.. (2016). Parentalité: Perspectives critiques (First.). Lausanne, Switzerland: Éditions EESP.
PDF icon Book (PDF) (153.7 KB)
Adamopoulos, P., Ritschard, G., & Berchtold, A.. (2016). Using dynamic microsimulation to understand professional trajectories of the active Swiss population. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (S. 151-154). Lausanne, Switzerland: NCCR LIVES. Abgerufen von https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 MB)
Zhelyazkova, N., & Ritschard, G.. (2016). Discovering and explaining patterns of work-family reconciliation in Luxembourg. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (S. 143-147). Lausanne, Switzerland: NCCR LIVES. Abgerufen von https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 MB)
Taushanov, Z., & Berchtold, A.. (2016). Markovian-based clustering of internet addiction trajectories. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (S. 179-182). Lausanne, Switzerland: NCCR LIVES. Abgerufen von https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Book (PDF) (27.15 MB)
Bolano, D., Berchtold, A., & Ritschard, G.. (2016). A discussion on hidden Markov models for life course data. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (S. 241-260). Lausanne, Switzerland: NCCR LIVES. Abgerufen von https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (6.47 MB)
Elzinga, C., & Studer, M.. (2016). Normalization of distance and similarity in sequence analysis. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (S. 445-468). Lausanne, Switzerland: NCCR LIVES. Abgerufen von https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 MB)
Bolano, D., & Haynes, M.. (2016). Methodological approaches to profiling and modelling disadvantaged employment pathways. An application to employment trajectories in Australia. In Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) (S. 851-862). Lausanne, Switzerland: NCCR-LIVES. Abgerufen von https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 MB)
Berchtold, A., & Suris Granell, J. - C.. (2017). Imputation of repeatedly-observed multinomial variables in longitudinal surveys. Communications in Statistics - Simulation and Computation, 46(4), 3267-3283. doi:10.1080/03610918.2015.1082588
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Suris, J. - C., Akre, C., & Bélanger, R.. (2016). Changes in cannabis and tobacco use trajectories from age 17 to age 23. In Transitions des adolescents et des jeunes adultes en Suisse. Résultats de l'étude longitudinale TREE (Second., S. 252-272). Basel, Switzerland: Seismo. Abgerufen von http://www.seismoverlag.ch/fr/daten/transitionen-im-jugend-und-jungen-erwachsenenalter/books/new/
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Oris, M., Roberts, C., Joye, D., & Ernst Stähli, M.. (2016). Surveying human vulnerabilities across the life course: Balancing substantive and methodological challenges. In M. Oris, Roberts, C., Joye, D., & Ernst Stähli, M., Surveying human vulnerabilities across the life course (S. 1-25). New York: Springer. doi:10.1007/978-3-319-24157-9_1
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Gaberel, P. (2014). Instaurer des normes de bonne parentalité. Les indicateurs statistiques des risques et du bien-être de l’enfant aux États-Unis. In C. Martin, «Être un bon parent»: Une injonction contemporaine. (S. 53-72). Paris: Presses de l'École des hautes études en santé publique.
Studer, M. (2015). Comment: On the use of globally interdependent multiple sequence analysis. Sociological Methodology, 45(1), 81-88. doi:10.1177/0081175015588095
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Elzinga, C., & Studer, M.. (2015). Spell sequences, state proximities and distance metrics. Sociological Methods & Research, 44(1), 3-47. doi:10.1177/0049124114540707
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Studer, M., & Ritschard, G.. (2014). A comparative review of sequence dissimilarity measures. LIVES Working Papers, 2014(33), 1-47. doi:10.12682/lives.2296-1658.2014.33
PDF icon Article (PDF) (1.21 MB)
Bürgin, R., & Ritschard, G.. (2014). A decorated parallel coordinate plot for categorical longitudinal data. The American Statistician, 68(2), 98-103. doi:10.1080/00031305.2014.887591
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Dribe, M., Manfredini, M., & Oris, M.. (2014). The roads to reproduction: Comparing life-course trajectories in preindustrial Europe. In C. Lundh & Kurosu, S., Similarity in difference. Marriage in Europe and Asia 1700-1900 (S. 85-116). Boston: MIT Press.
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Oris, M., & Ritschard, G.. (2014). Sequence analysis and transition to adulthood: An exploration of the access to reproduction in nineteenth-century East Belgium. In P. Blanchard, Bühlmann, F., & Gauthier, J. - A., Advances in sequence analysis: Theory, method, applications (S. 152-167). New York, Heidelberg, Dordrecht, London: Springer.
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Gabadinho, A., & Ritschard, G.. (2013). Searching for typical life trajectories applied to childbirth histories. In R. Levy & Widmer, E., Gendered life courses between individualization and standardization. A European approach applied to Switzerland (S. 287-312). Vienna: LIT Verlag.
McArdle, J. J., & Ritschard, G.. (2013). Contemporary issues in exploratory data mining in the behavioral sciences. Quantitative Methodology Series (S. 496). London & New York: Routledge.
Bürgin, R., & Ritschard, G.. (2013). Rendering the order of life events. LIVES Working Papers, 2013(29), 1-16. doi:10.12682/lives.2296-1658.2013.29
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Ritschard, G., Bürgin, R., & Studer, M.. (2013). Exploratory mining of life event histories. In J. J. McArdle & Ritschard, G., Contemporary issues in exploratory data mining in the behavioral sciences (S. 221-253). London & New York: Routledge.
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Ritschard, G. (2012). Exploring sequential data. (J. - G. Ganascia, Lenca, P., & Petit, J. - M.)Discovery science: 15th international conference: Proceedings. Berlin: Springer.
Bürgin, R., Ritschard, G., & Rousseaux, E.. (2012). Visualisation de séquences d'événements. Revue des Nouvelles Technologies de l'Information, Extraction et gestion des connaissances (RNTI-E), 23, 559-560.
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Gabadinho, A., Ritschard, G., Studer, M., & Müller, N. S.. (2011). Extracting and rendering representative sequences. In A. Fred, Dietz, J. L. G., Liu, K., & Filipe, J., Knowledge Discovery, Knowledge Engineering and Knowledge Management (S. 94-106). Berlin: Springer.
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Studer, M., Ritschard, G., Gabadinho, A., & Müller, N. S.. (2011). Discrepancy Analysis of State Sequences. Sociological Methods & Research, 40(3), 471-510. doi:10.1177/0049124111415372
PDF icon Article (PDF) (1.14 MB)