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Graphical and Smoothing Techniques for Sequence Analysis

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  • Raffaella Piccarreta

Abstract

We consider the problem of the visualization of life courses represented as sequences. We describe the state of the art and introduce new plots which improve the graphical display of sequences unveiling their most salient features. Our proposal is based upon the application of smoothing techniques, reducing if not completely removing individual noises. The advantages of our plots are illustrated using data from the Panel study of Social Integration in the Netherlands.

Suggested Citation

  • Raffaella Piccarreta, 2012. "Graphical and Smoothing Techniques for Sequence Analysis," Sociological Methods & Research, , vol. 41(2), pages 362-380, May.
    • Handle: RePEc:sae:somere:v:41:y:2012:i:2:p:362-380
    DOI: 10.1177/0049124112452394
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    References listed on IDEAS

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    1. Oh M-S. & Raftery A. E., 2001. "Bayesian Multidimensional Scaling and Choice of Dimension," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1031-1044, September.
    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. Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    5. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. II," Psychometrika, Springer;The Psychometric Society, vol. 27(3), pages 219-246, September.
    6. 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.
    7. Boj, Eva & Delicado, Pedro & Fortiana, Josep, 2010. "Distance-based local linear regression for functional predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 429-437, February.
    8. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    9. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. I," Psychometrika, Springer;The Psychometric Society, vol. 27(2), pages 125-140, June.
    10. 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.
    11. 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. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.

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