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Sequence Analysis and Optimal Matching Methods in Sociology: Review and Prospect
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.
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Transcending General Linear Reality
Abbott, A. (1988) · Sociological Theory · doi:10.2307/202114 · Cited by 716
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Cited by
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Seawright, J., & Gerring, J. (2008) · Political Research Quarterly · doi:10.1177/1065912907313077 · Cited by 3,827
Functions of innovation systems: A new approach for analysing technological change
Hekkert, M. P., Suurs, R. A. A., Negro, S. O., Kuhlmann, S., & Smits, R. E. H. M. (2007) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2006.03.002 · Cited by 2,741
Analyzing and Visualizing State Sequences in R with TraMineR
Gabadinho, A., Ritschard, G., Müller, N. S., & Studer, M. (2011) · Journal of Statistical Software · doi:10.18637/jss.v040.i04 · Cited by 1,357
Using Narrative in Social Research
Elliott, J. (2005) · SAGE Publications Ltd eBooks · doi:10.4135/9780857020246 · Cited by 1,113
Conceptualizing and Measuring Democracy: A New Approach
Coppedge, M., Gerring, J., Altman, D., Bernhard, M., Fish, S., Hicken, A., Kroenig, M., Lindberg, S. I., McMann, K., Paxton, P., et al. (2011) · Perspectives on Politics · doi:10.1017/s1537592711000880 · Cited by 954
Metadata
- Authors
- ABBOTT, A., & TSAY, A.
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 2000-08
- Volume
- 29
- Issue
- 1
- Pages
- 3-33
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2045823794
- Cited by
- 921
- References
- 1
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
