IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v46y2017i2p252-287.html
   My bibliography  Save this article

Joint Sequence Analysis

Author

Listed:
  • Raffaella Piccarreta

Abstract

In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of domains are interrelated and their joint analysis justified. Also, we discuss about the quality of the results obtained using joint sequence analysis. In particular, we focus on cluster analysis and propose criteria to assess whether clusters obtained using a joint approach satisfactorily describe each domain.

Suggested Citation

  • Raffaella Piccarreta, 2017. "Joint Sequence Analysis," Sociological Methods & Research, , vol. 46(2), pages 252-287, March.
    • Handle: RePEc:sae:somere:v:46:y:2017:i:2:p:252-287
    DOI: 10.1177/0049124115591013
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124115591013
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124115591013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Raffaella Piccarreta & Orna Lior, 2010. "Exploring sequences: a graphical tool based on multi‐dimensional scaling," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 165-184, January.
    2. Gary Pollock, 2007. "Holistic trajectories: a study of combined employment, housing and family careers by using multiple‐sequence analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 167-183, January.
    3. Matissa Hollister, 2009. "Is Optimal Matching Suboptimal?," Sociological Methods & Research, , vol. 38(2), pages 235-264, November.
    4. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    5. Andrew Abbott, 1990. "A Primer on Sequence Methods," Organization Science, INFORMS, vol. 1(4), pages 375-392, November.
    6. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    7. Arnstein Aassve & Francesco C. Billari & Raffaella Piccarreta, 2007. "Strings of Adulthood: A Sequence Analysis of Young British Women’s Work-Family Trajectories," European Journal of Population, Springer;European Association for Population Studies, vol. 23(3), pages 369-388, October.
    8. 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).
    9. Raffaella Piccarreta & Francesco C. Billari, 2007. "Clustering work and family trajectories by using a divisive algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1061-1078, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Anette Eva Fasang & Tim Futing Liao, 2014. "Visualizing Sequences in the Social Sciences," Sociological Methods & Research, , vol. 43(4), pages 643-676, November.
    3. 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).
    4. Raffaella Piccarreta, 2012. "Graphical and Smoothing Techniques for Sequence Analysis," Sociological Methods & Research, , vol. 41(2), pages 362-380, May.
    5. Christian Brzinsky-Fay & Ulrich Kohler, 2010. "New Developments in Sequence Analysis," Sociological Methods & Research, , vol. 38(3), pages 359-364, February.
    6. Michael Koch & Bernard Forgues & Vanessa Monties, 2017. "The Way to the Top: Career Patterns of Fortune 100 CEOS," Post-Print hal-02051118, HAL.
    7. Devillanova, Carlo & Raitano, Michele & Struffolino, Emanuela, 2019. "Longitudinal employment trajectories and health in middle life: Insights from linked administrative and survey data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1375-1412.
    8. Michael Anyadike-Danes & Duncan McVicar, 2010. "My Brilliant Career: Characterizing the Early Labor Market Trajectories of British Women From Generation X," Sociological Methods & Research, , vol. 38(3), pages 482-512, February.
    9. 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.
    10. Serah Shin & Hyungsoo Kim, 2018. "Health Trajectories of Older Americans and Medical Expenses: Evidence from the Health and Retirement Study Data Over the 18 Year Period," Journal of Family and Economic Issues, Springer, vol. 39(1), pages 19-33, March.
    11. Paola Di Giulio & Roberto Impicciatore & Maria Sironi, 2019. "The changing pattern of cohabitation: A sequence analysis approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(42), pages 1211-1248.
    12. Fasang, Anette Eva & Liao, Tim Futing, 2014. "Visualizing Sequences in the Social Sciences: Relative Frequency Sequence Plots," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(4), pages 643-676.
    13. 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.
    14. Anette Fasang & Marcel Raab, 2014. "Beyond Transmission: Intergenerational Patterns of Family Formation Among Middle-Class American Families," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1703-1728, October.
    15. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.
    16. 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).
    17. Mitrofanova, Ekaterina S. & Artamonova, Alyona V., 2016. "Studying Family Formation Trajectories’ Deinstitutionalization in Russia Using Sequence Analysis," MPRA Paper 82877, University Library of Munich, Germany.
    18. Júlia Mikolai & Hill Kulu, 2019. "Union dissolution and housing trajectories in Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(7), pages 161-196.
    19. repec:jss:jstsof:40:i04 is not listed on IDEAS
    20. Moehring, Katja & Weiland, Andreas & Reifenscheid, Maximiliane & Naumann, Elias & Wenz, Alexander & Rettig, Tobias & Krieger, Ulrich & Fikel, Marina & Cornesse, Carina & Blom, Annelies G., 2021. "Inequality in employment trajectories and their socio-economic consequences during the early phase of the COVID-19 pandemic in Germany," SocArXiv m95df, Center for Open Science.
    21. Babette Bühler & Katja Möhring & Andreas P. Weiland, 2022. "Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4747-4774, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:somere:v:46:y:2017:i:2:p:252-287. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.