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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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Sources

  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

How to cite this page

ScholarGate. (2026, June 22). Optimal Matching Analysis of Sequences. ScholarGate. https://scholargate.app/en/sociology/optimal-matching-analysis

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Referenced by

ScholarGateOptimal Matching Analysis (Optimal Matching Analysis of Sequences). Retrieved 2026-06-24 from https://scholargate.app/en/sociology/optimal-matching-analysis · Dataset: https://doi.org/10.5281/zenodo.20539026