A transition-oriented approach to optimal matching
Biemann, Torsten
DOI:
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https://doi.org/10.1111/j.1467-9531.2011.01235.x
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URL:
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http://onlinelibrary.wiley.com/doi/10.1111/j.1467-...
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Weitere URL:
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http://journals.sagepub.com/doi/10.1111/j.1467-953...
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Dokumenttyp:
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Zeitschriftenartikel
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Erscheinungsjahr:
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2011
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Titel einer Zeitschrift oder einer Reihe:
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Sociological Methodology
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Band/Volume:
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41
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Heft/Issue:
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1
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Seitenbereich:
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195-221
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Ort der Veröffentlichung:
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Thousand Oaks, Calif. [u.a.]
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Verlag:
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Sage Publ.
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ISSN:
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0081-1750 , 1467-9531
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Verwandte URLs:
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Betriebswirtschaftslehre > ABWL, Personalmanagement u. Führung (Biemann 2013-)
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Fachgebiet:
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330 Wirtschaft
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Abstract:
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Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to study protein and DNA sequences and was later transferred to the social sciences where it was applied accordingly. However, there is an ongoing debate on the adequacy of its use in the social sciences, as a superficial transfer might not respond to the significant differences between typical sequences in biological and social settings. In this paper, I elaborate on these differences and introduce a distinction between two sequence types—namely, common ancestors and unfolding processes. While the first sequence type is typically found in biological settings (e.g., DNA sequences), the latter applies to most sequences studied in the social sciences (e.g., careers). Based on this distinction, I present a new way of coding sequences as an extension to conventional OM analyses and demonstrate its usefulness in simulated and empirical examples. The paper concludes with a discussion of this new approach and its integration into previous extensions of OM.
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| Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation. |
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