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Exploring sequences: a graphical tool based on multi‐dimensional scaling

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  • Raffaella Piccarreta
  • Orna Lior

Abstract

Summary. Sequence analysis has become one of the most used and discussed tools to describe life course trajectories. We introduce a new tool for the graphical exploratory analysis of sequences. Our plots combine standard sequence plots with the results that are provided by multi‐dimensional scaling. We apply our procedure to describe work and family careers of Israeli women by using data from the Israel Social Mobility Survey. We first focus on some preliminary choices relative to the definition of the sequences: the age span, the length of the sequences and the set of states registered in each time period. We then describe how our plots can be used to gain insights about the main features of sequences and about the relationships between sequences and external information.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jorssa:v:173:y:2010:i:1:p:165-184
    DOI: 10.1111/j.1467-985X.2009.00606.x
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    References listed on IDEAS

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    1. 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.
    2. Laurent Lesnard, 2006. "Optimal Matching and Social Sciences," Working Papers 2006-01, Center for Research in Economics and Statistics.
    3. Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    4. Brian Francis & Mark Fuller, 1996. "Visualization of Event Histories," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 301-308, March.
    5. Ulrich Kohler & Christian Brzinsky-Fay, 2005. "Stata tip 25: Sequence index plots," Stata Journal, StataCorp LP, vol. 5(4), pages 601-602, December.
    6. Duncan McVicar & Michael Anyadike‐Danes, 2002. "Predicting successful and unsuccessful transitions from school to work by using sequence methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 317-334, June.
    7. 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.
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    Cited by:

    1. Jalovaara, Marika & Fasang, Anette Eva, 2017. "From never partnered to serial cohabitors: union trajectories to childlessness," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36, pages 1703-1720.
    2. 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.
    3. Raffaella Piccarreta, 2017. "Joint Sequence Analysis," Sociological Methods & Research, , vol. 46(2), pages 252-287, March.
    4. Rannveig Kaldager Hart, 2019. "Union Histories of Dissolution: What Can They Say About Childlessness?," European Journal of Population, Springer;European Association for Population Studies, vol. 35(1), pages 101-131, February.
    5. Marco Bonetti & Raffaella Piccarreta & Gaia Salford, 2013. "Parametric and Nonparametric Analysis of Life Courses: An Application to Family Formation Patterns," Demography, Springer;Population Association of America (PAA), vol. 50(3), pages 881-902, June.
    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. Piccarreta, Raffaella & Struffolino, Emanuela, 2019. "An Integrated Heuristic for Validation in Sequence Analysis," SocArXiv v7mj8, Center for Open Science.
    8. Marika Jalovaara & Anette Fasang, 2017. "From never partnered to serial cohabitors: Union trajectories to childlessness," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(55), pages 1703-1720.
    9. Gina Potârcă & Melinda Mills & Laurent Lesnard, 2013. "Family Formation Trajectories in Romania, the Russian Federation and France: Towards the Second Demographic Transition? [Trajectoires de formation de la famille en Roumanie, en Fédération de Russie," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 69-101, February.
    10. Anette Eva Fasang & Tim Futing Liao, 2014. "Visualizing Sequences in the Social Sciences," Sociological Methods & Research, , vol. 43(4), pages 643-676, November.

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