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Scientific article
Open access
French

Spell Sequences, State Proximities, and Distance Metrics

Published inSociological methods & research, vol. 44, no. 1, p. 3-47
Publication date2015
Abstract

Because optimal matching (OM) distance is not very sensitive to differences in the order of states, we introduce a subsequence-based distance measure that can be adapted to subsequence length, to subsequence duration, and to soft-matching of states. Using a simulation technique developed by Studer, we investigate the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states. The results show that the behavior of the metric is as intended. Furthermore, we use family formation data from the Swiss Household Panel to compare a few variants of the new metric to OM. The new metrics have been implemented in the freely available TraMineR-package.

Keywords
  • Sequence analysis
  • OM
  • Subsequence
  • Soft-matching
  • Duration-weighting
Citation (ISO format)
ELZINGA, C. H., STUDER, Matthias. Spell Sequences, State Proximities, and Distance Metrics. In: Sociological methods & research, 2015, vol. 44, n° 1, p. 3–47. doi: 10.1177/0049124114540707
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Article (Accepted version)
accessLevelPublic
Identifiers
ISSN of the journal0049-1241
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Technical informations

Creation11/23/2015 10:11:00 AM
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