Going the distance in vocational behavior research: Introducing three extensions for optimal matching analysis based on distances between career sequences


Biemann, Torsten ; Mühlenbock, Max ; Dlouhy, Katja



DOI: https://doi.org/10.1016/j.jvb.2020.103399
URL: https://www.sciencedirect.com/science/article/abs/...
Additional URL: https://www.researchgate.net/publication/339116637...
Document Type: Article
Year of publication: 2020
The title of a journal, publication series: Journal of Vocational Behavior
Volume: 119
Issue number: Article 103399
Place of publication: Amsterdam [u.a.]
Publishing house: Elsevier
ISSN: 0001-8791 , 1095-9084
Publication language: English
Institution: Business School > ABWL, Personalmanagement u. Führung (Biemann)
Subject: 150 Psychology
Keywords (English): Optimal matching Career Sequence analysis Spatial analysis Matching
Abstract: 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.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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