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Optimal Matching Analysis/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Optimal Matching Analysis of Sequences
Taxonomic method record · process-pipeline / sociology
  • 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
  • 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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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Used in the same domainIntergenerational Elasticitymachine-suggested · Relational suggestion, not evidence.Used in the same domainRelational Event Modelmachine-suggested · Relational suggestion, not evidence.Same method familySequence Analysismachine-suggested · Relational suggestion, not evidence.Same method familySocial Mobility Tablemachine-suggested · Relational suggestion, not evidence.See alsoSocial Network Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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