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Process / pipelineSequence dissimilarity measurement

Optimal Matching Analysis

Optimal matching analysis measures how dissimilar two categorical sequences are by computing the minimum total cost of editing one sequence into the other through substitution and insertion/deletion operations. Borrowed from computer science and molecular biology and introduced to sociology by Andrew Abbott, it supplies the pairwise distances that underpin sequence analysis of careers, family histories, and other life-course trajectories.

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Kilder

  1. Abbott, A., & Tsay, A. (2000). Sequence analysis and optimal matching methods in sociology: review and prospect. Sociological Methods & Research, 29(1), 3–33. DOI: 10.1177/0049124100029001001
  2. Studer, M., & Ritschard, G. (2016). What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures. Journal of the Royal Statistical Society: Series A, 179(2), 481–511. DOI: 10.1111/rssa.12125

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ScholarGate. (2026, June 22). Optimal Matching Analysis of Sequences. ScholarGate. https://scholargate.app/no/sociology/optimal-matching-analysis

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ScholarGateOptimal Matching Analysis (Optimal Matching Analysis of Sequences). Hentet 2026-06-24 fra https://scholargate.app/no/sociology/optimal-matching-analysis · Datasett: https://doi.org/10.5281/zenodo.20539026