Sequence Analysis and Optimal Matching Methods in Sociology

Andrew Abbott and Angela Tsay
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Andrew Abbott: University of Chicago
Angela Tsay: University of Chicago

Sociological Methods & Research, 2000, vol. 29, issue 1, 3-33

Abstract: The authors review all known studies applying optimal matching or alignment (OM) techniques to social science sequence data. Issues of data, coding, temporality, cost setting/algorithm design, and analytic strategies are considered, and substantive findings are reviewed. The authors conclude that OM techniques have produced interesting results in a wide variety of areas, the most promising being studies of careers and of sequentially organized cultural artifacts.

Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:29:y:2000:i:1:p:3-33

DOI: 10.1177/0049124100029001001

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