IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v48y2019i4p877-904.html
   My bibliography  Save this article

Normalization of Distance and Similarity in Sequence Analysis

Author

Listed:
  • Cees H. Elzinga
  • Matthias Studer

Abstract

We explore the relations between the notion of distance and a feature set–based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as “direction.†Furthermore, we show how proper normalization leads to distances that can be directly interpreted as dissimilarity: Closeness in normalized space implies and is implied by similarity of the same objects, while remoteness implies and is implied by dissimilarity. Finally, we show how, in research into destandardization of the life course, properly normalizing may drastically and unequivocally change our interpretation of intercohortal distances.

Suggested Citation

  • Cees H. Elzinga & Matthias Studer, 2019. "Normalization of Distance and Similarity in Sequence Analysis," Sociological Methods & Research, , vol. 48(4), pages 877-904, November.
  • Handle: RePEc:sae:somere:v:48:y:2019:i:4:p:877-904
    DOI: 10.1177/0049124119867849
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124119867849
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0049124119867849?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. Hilde Bras & Aart Liefbroer & Cees Elzinga, 2010. "Standardization of pathways to adulthood? an analysis of Dutch cohorts born between 1850 and 1900," Demography, Springer;Population Association of America (PAA), vol. 47(4), pages 1013-1034, November.
    2. Louis Guttman, 1968. "A general nonmetric technique for finding the smallest coordinate space for a configuration of points," Psychometrika, Springer;The Psychometric Society, vol. 33(4), pages 469-506, December.
    3. Matthias Studer & Gilbert Ritschard, 2016. "What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 481-511, February.
    4. Cees H. Elzinga & Aart C. Liefbroer, 2007. "De-standardization of Family-Life Trajectories of Young Adults: A Cross-National Comparison Using Sequence Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 23(3), pages 225-250, October.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zachary Van Winkle & Fangqi Wen, 2023. "A Holistic Approach to Family Life Course Change across 1930–1978 Chinese Birth Cohorts," Population and Development Review, The Population Council, Inc., vol. 49(2), pages 279-317, June.

    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. Struffolino, Emanuela, 2019. "Navigating the early career: The social stratification of young workers’ employment trajectories in Italy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 63, pages 1-17.
    2. 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.
    3. Marcel Raab & Emanuela Struffolino, 2020. "The Heterogeneity of Partnership Trajectories to Childlessness in Germany," European Journal of Population, Springer;European Association for Population Studies, vol. 36(1), pages 53-70, March.
    4. Julia 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.
    5. Zachary Van Winkle & Anette Fasang, 2021. "The complexity of employment and family life courses across 20th century Europe: More evidence for larger cross-national differences but little change across 1916‒1966 birth cohorts," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(32), pages 775-810.
    6. 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, vol. 40, pages 1375-1412.
    7. 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.
    8. Andy Dickerson & Emily McDool & Damon Morris, 2023. "Post-compulsory education pathways and labour market outcomes," Education Economics, Taylor & Francis Journals, vol. 31(3), pages 326-352, May.
    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. Lídia Montero & Lucía Mejía-Dorantes & Jaume Barceló, 2023. "Applying Data Analytics to Analyze Activity Sequences for an Assessment of Fragmentation in Daily Travel Patterns: A Case Study of the Metropolitan Region of Barcelona," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    11. Piccarreta, Raffaella & Struffolino, Emanuela, 2019. "An Integrated Heuristic for Validation in Sequence Analysis," SocArXiv v7mj8, Center for Open Science.
    12. 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.
    13. 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.
    14. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.
    15. Tom Kleinepier & Helga de Valk, 2016. "Ethnic differences in family trajectories of young adult women in the Netherlands: Timing and sequencing of events," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(24), pages 671-710.
    16. 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.
    17. Andrade, Stefan B. & Fasang, Anette Eva & Helske, Satu & Karhula, Aleksi, 2023. "Typologies in Sequence Analysis: Practical Guidelines for Identifying Robust Cluster Solutions," SocArXiv kj8d5, Center for Open Science.
    18. Jana Klimova Chaloupkova, 2023. "Solo living in the process of transitioning to adulthood in Europe: The role of socioeconomic background," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(3), pages 43-88.
    19. Nicola Barban, 2013. "Family Trajectories and Health: A Life Course Perspective [Trajectoires familiales et santé: une approche sous l’angle de parcours de vie]," European Journal of Population, Springer;European Association for Population Studies, vol. 29(4), pages 357-385, November.
    20. Marco Raffaella Piccarreta & Marco Bonetti & Stefano Lombardi, 2018. "Comparing models for sequence data: prediction and dissimilarities," Working Papers 113, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.

    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:48:y:2019:i:4:p:877-904. 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.