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Discrepancy Analysis of State Sequences

Author

Listed:
  • Matthias Studer
  • Gilbert Ritschard
  • Alexis Gabadinho
  • Nicolas S. Müller

Abstract

In this article, the authors define a methodological framework for analyzing the relationship between state sequences and covariates. Inspired by the principles of analysis of variance, this approach looks at how the covariates explain the discrepancy of the sequences. The authors use the pairwise dissimilarities between sequences to determine the discrepancy, which makes it possible to develop a series of statistical significance–based analysis tools. They introduce generalized simple and multifactor discrepancy-based methods to test for differences between groups, a pseudo- R 2 for measuring the strength of sequence-covariate associations, a generalized Levene statistic for testing differences in the within-group discrepancies, as well as tools and plots for studying the evolution of the differences along the time frame and a regression tree method for discovering the most significant discriminant covariates and their interactions. In addition, the authors extend all methods to account for case weights. The scope of the proposed methodological framework is illustrated using a real-world sequence data set.

Suggested Citation

  • Matthias Studer & Gilbert Ritschard & Alexis Gabadinho & Nicolas S. Müller, 2011. "Discrepancy Analysis of State Sequences," Sociological Methods & Research, , vol. 40(3), pages 471-510, August.
  • Handle: RePEc:sae:somere:v:40:y:2011:i:3:p:471-510
    DOI: 10.1177/0049124111415372
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    References listed on IDEAS

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    Cited by:

    1. Studer, Matthias & Struffolino, Emanuela & Fasang, Anette Eva, 2018. "Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48(1), pages 103-135.
    2. Ricard, Antonin & Shimizu, Katsuhiko & Vieu, Marion, 2021. "Deepening the timing dimension of emerging market multinational companies’ internationalization – An exploratory perspective," Journal of International Management, Elsevier, vol. 27(3).
    3. Nicholas Longford & Ioana C. Salagean, 2013. "A study of the labour market trajectories in the Grand Duchy of Luxembourg," Economics Working Papers 1396, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Zwiers, Merle & Kleinhans, Reinout & van Ham, Maarten, 2015. "Divided Cities: Increasing Socio-Spatial Polarization within Large Cities in the Netherlands," IZA Discussion Papers 8882, Institute of Labor Economics (IZA).
    5. Helske, Satu & Steele, Fiona & Kokko, Katja & Räikkönen, Eija & Eerola, Mervi, 2015. "Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events," LSE Research Online Documents on Economics 62244, London School of Economics and Political Science, LSE Library.
    6. Zhelyazkova, N., 2014. "Discovering and explaining work-family strategies of parents in Luxembourg," MERIT Working Papers 2014-022, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Zimmermann, Okka, 2022. "The impact of personality on timing and dynamics of partnership formation: A longitudinal approach a longitudinal approach," IU Discussion Papers - Social Sciences 4 (August 2022), IU International University of Applied Sciences.
    8. Zhelyazkova N., 2013. "Parental leave within the broader work‐family trajectory : What can we learn from sequence analysis?," MERIT Working Papers 2013-049, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Juan José Fernández-Durán & María Mercedes Gregorio-Domínguez, 2021. "Consumer Segmentation Based on Use Patterns," Journal of Classification, Springer;The Classification Society, vol. 38(1), pages 72-88, April.
    10. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.
    11. Jewoong Moon & Fengfeng Ke, 2020. "Exploring the Relationships Among Middle School Students’ Peer Interactions, Task Efficiency, and Learning Engagement in Game-Based Learning," Simulation & Gaming, , vol. 51(3), pages 310-335, June.
    12. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.
    13. Valentina Tocchioni & Anna Rybińska & Monika Mynarska & Anna Matysiak & Daniele Vignoli, 2022. "Life-Course Trajectories of Childless Women: Country-Specific or Universal?," European Journal of Population, Springer;European Association for Population Studies, vol. 38(5), pages 1315-1332, December.
    14. Mathias Voigt & Antonio Abellán & Julio Pérez & Diego Ramiro, 2020. "The effects of socioeconomic conditions on old-age mortality within shared disability pathways," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    15. Borgna, Camilla & Struffolino, Emanuela, 2018. "Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 167-184.
    16. Anette Eva Fasang & Tim Futing Liao, 2014. "Visualizing Sequences in the Social Sciences," Sociological Methods & Research, , vol. 43(4), pages 643-676, November.
    17. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    18. Jacopo Vanoli & Consuelo Rubina Nava & Chiara Airoldi & Andrealuna Ucciero & Virginio Salvi & Francesco Barone-Adesi, 2021. "Use of State Sequence Analysis in Pharmacoepidemiology: A Tutorial," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    19. Struffolino, Emanuela & Studer, Matthias & Fasang, Anette Eva, 2016. "Gender, education, and family life courses in East and West Germany: Insights from new sequence analysis techniques," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29, pages 66-79.
    20. Satu Ojala & Jouko Nätti & Liudmila Lipiäinen, 2018. "Types of Temporary Employment: An 8-Year Follow-Up of Labour Market Attachment," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 141-163, July.
    21. Barbara Elisabeth Fulda, 2016. "The diversity in longitudinal partnership trajectories during the transition to adulthood: How is it related to individual characteristics and regional living conditions?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(37), pages 1101-1134.

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