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Going the distance in vocational behavior research: Introducing three extensions for optimal matching analysis based on distances between career sequences
Biemann, Torsten
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Mühlenbock, Max
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Dlouhy, Katja
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DOI:
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https://doi.org/10.1016/j.jvb.2020.103399
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URL:
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https://www.sciencedirect.com/science/article/abs/...
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Weitere URL:
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https://www.researchgate.net/publication/339116637...
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Dokumenttyp:
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Zeitschriftenartikel
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Erscheinungsjahr:
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2020
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Titel einer Zeitschrift oder einer Reihe:
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Journal of Vocational Behavior
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Band/Volume:
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119
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Heft/Issue:
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Article 103399
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Ort der Veröffentlichung:
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Amsterdam [u.a.]
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Verlag:
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Elsevier
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ISSN:
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0001-8791 , 1095-9084
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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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150 Psychologie
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Freie Schlagwörter (Englisch):
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Optimal matching Career Sequence analysis Spatial analysis Matching
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Abstract:
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Optimal matching analysis is the most commonly used method to analyze career sequences. It enables researchers to calculate the distance (i.e. the dissimilarity) between individuals' careers. However, the method's primarily descriptive and explorative approach limits its scope and complicates statistical inference testing for a wide field of research questions. We introduce three extensions to optimal matching analysis that combine the method's core idea with approaches from other disciplines, thereby overcoming this weakness. In essence, these extensions allow researchers to use career sequence similarities as predictors, as outcomes, and as control variables in quantitative statistical analyses. We discuss practical recommendations and pitfalls when applying these extensions, and we outline potential avenues for future career research.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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