Measuring vulnerability

IP214 (former IP14 & IP15)

Project leader: Gilbert Ritschard

IP214 is designed to provide the participants in the NCCR LIVES with high methodological competences in data collection and data management and with advanced statistical tools for the analysis of vulnerability and resilience processes in the life course. The project merges the forces of the two previous methodological IPs. While in Phase 1 (2011-2014) IP14 invested most of its energy in the development of longitudinal methods for studying life courses, especially sequence analysis, in Phase 2 (2015-2018) we want to focus analytically on vulnerabilities as states, risks and processes. Work on the quality of survey data conducted by IP15 in Phase 1 will be extended in Phase 2, maintaining a strong focus on processes of data production with respect to vulnerability.

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Team:

Prof. André Berchtold, Prof. Paolo Ghisletta, Prof. Dominique Joye, Prof. Michel Oris, Prof. Caroline Roberts
Dr. Delphine Courvoisier, Dr. Pascal Gaberel, Dr. Brian Kleiner, Dr. Matthias Studer
Henning Atzamba, Sophie Rossillion

Doctoral students:
Dan Orsholits, Serguei Rouzinov

News published on IP214

Publications

Selected publications

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
PDF icon Article (PDF) (815.51 KB)
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
PDF icon Article (PDF) (626.91 KB)
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)

Other publications

Ritschard, G., & Studer, M.. (2018). Sequence analysis: Where are we, where wre we going?. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications. (Vol. 10). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_1
PDF icon Chapter(PDF) (288.2 KB)
Ritschard, G., Bussi, M., & O’Reilly, J.. (2018). An index of precarity for measuring early employment insecurity. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications (pp. 289–308). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_16
PDF icon Chapter(PDF) (404.47 KB)
Studer, M. (2018). Divisive property-based and fuzzy clustering for sequence analysis. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications (pp. 233–239). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_13
PDF icon Chapter(PDF) (464.42 KB)
Taushanov, Z., & Berchtold, A.. (2018). Markovian-based clustering of internet addiction trajectories. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications. (pp. 203-222). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_12
PDF icon Chapter(PDF) (455.95 KB)
Rossignon, F., Studer, M., Gauthier, J. - A., & Le Goff, J. - M.. (2018). Sequence history analysis (SHA): Estimating the effect of past trajectories on an upcoming event. In G. Ritschard & Studer, M. (Eds.), Sequence analysis and related approaches : Innovative methods and applications. (pp. 83–100). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2_6
PDF icon Chapter(PDF) (472.47 KB)
Zhelyazkova, N., & Ritschard, G.. (2018). Parental Leave Take-Up of Fathers in Luxembourg. Population Research and Policy Review, 37, 769-793. doi:10.1007/s11113-018-9470-8
PDF icon Article(PDF) (593.74 KB)
Ritschard, G., & Studer, M. (Eds.). (2018). Sequence analysis and related approaches : Innovative methods and applications. Life Course Research and social Policies (Vol. 10). Cham, Switzerland: Springer. doi:10.1007/978-3-319-95420-2
Buergin, R. Arthur, & Ritschard, G.. (2017). Coefficient-wise tree-based varying coefficient regression with vcrpart. Journal of Statistical Software, 80(6), 1–33. doi:10.18637/jss.v080.i06
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Zhelyazkova, N., & Ritschard, G.. (2017). Parental leave within the broader employment trajectory: What can we learn from administrative records?. Equality, Diversity and Inclusion: An International Journal, 36(7), 607–627. doi:10.1108/EDI-05-2017-0109
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Aichele, S., & Ghisletta, P.. (2018). Memory deficits precede increases in depressive symptoms in later adulthood. The Journals of Gerontology: Series B. doi:10.1093/geronb/gbx183
PDF icon Article(PDF) (292.98 KB)
Ghisletta, P., Renaud, O., Fagot, D., Lecerf, T., & de Ribaupierre, A.. (2018). Age and sex differences in intra-individual variability in a simple reaction time task. International Journal of Behavioral Development, 42(2), 294–299. doi:10.1177/0165025417739179
PDF icon Article(PDF) (168.16 KB)
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
PDF icon Article (PDF) (792.16 KB)
Berchtold, A. (2016). Test–retest: Agreement or reliability?. Methodological Innovations, 9, 1-7. doi:10.1177/2059799116672875
PDF icon Article (PDF) (579.51 KB)
Taushanov, Z., & Berchtold, A.. (2017). A direct local search method and its application to a markovian model. Statistics, Optimization & Information Computing, 5(1), 19–34. doi:10.19139/soic.v5i1.253
PDF icon Article(PDF) (174.96 KB)
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 (Eds.), The SAGE Handbook of Survey Methodology (pp. 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 (Eds.), The SAGE Handbook of Survey Methodology (pp. 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 (Eds.), The SAGE Handbook of Survey Methodology (pp. 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 (Eds.), The SAGE Handbook of Survey Methodology (pp. 425-440). London: SAGE. doi:10.4135/9781473957893.n28
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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 (Eds.), The SAGE Handbook of Survey Methodology (pp. 502-524). London, UK: SAGE. doi:10.4135/9781473957893.n33
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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 (Eds.), The SAGE Handbook of Survey Methodology (pp. 579-598). London: SAGE. doi:10.4135/9781473957893.n36
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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) (pp. 151-154). Lausanne, Switzerland: NCCR LIVES. Retrieved from 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) (pp. 143-147). Lausanne, Switzerland: NCCR LIVES. Retrieved from https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (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) (pp. 241-260). Lausanne, Switzerland: NCCR LIVES. Retrieved from 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) (pp. 445-468). Lausanne, Switzerland: NCCR LIVES. Retrieved from 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) (pp. 851-862). Lausanne, Switzerland: NCCR-LIVES. Retrieved from https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf
PDF icon Chapter (PDF) (27.15 MB)
Berchtold, A., & Suris, 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., pp. 252-272). Basel, Switzerland: Seismo. Retrieved from 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. (Eds.), Surveying human vulnerabilities across the life course (pp. 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 (Ed.), «Être un bon parent»: Une injonction contemporaine. (pp. 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
PDF icon Article (PDF) (258.03 KB)
Dribe, M., Manfredini, M., & Oris, M.. (2014). The roads to reproduction: Comparing life-course trajectories in preindustrial Europe. In C. Lundh & Kurosu, S. (Eds.), Similarity in difference. Marriage in Europe and Asia 1700-1900 (pp. 85-116). Boston: MIT Press.
PDF icon Chapter (PDF) (266.97 KB)
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. (Eds.), Advances in sequence analysis: Theory, method, applications (pp. 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. (Eds.), Gendered life courses between individualization and standardization. A European approach applied to Switzerland (pp. 287-312). Vienna: LIT Verlag.
McArdle, J. J., & Ritschard, G.. (2013). Contemporary issues in exploratory data mining in the behavioral sciences. Quantitative Methodology Series (p. 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. (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 221-253). London & New York: Routledge.
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Ritschard, G. (2012). Exploring sequential data. (J. - G. Ganascia, Lenca, P., & Petit, J. - M., Eds.)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. (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 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
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