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Joint Sequence Analysis

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. Matissa Hollister, 2009. "Is Optimal Matching Suboptimal?," Sociological Methods & Research, , vol. 38(2), pages 235-264, November.
    5. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    6. Andrew Abbott, 1990. "A Primer on Sequence Methods," Organization Science, INFORMS, vol. 1(4), pages 375-392, November.
    7. 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.
    8. 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.
    9. 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).
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