Optimal matching analysis in career research: a review and some best-practice recommendations

Dlouhy, Katja ; Biemann, Torsten

DOI: https://doi.org/10.1016/j.jvb.2015.04.005
URL: https://www.sciencedirect.com/science/article/pii/...
Additional URL: https://www.researchgate.net/publication/274903090...
Document Type: Article
Year of publication: 2015
The title of a journal, publication series: Journal of Vocational Behavior
Volume: 90
Page range: 163-173
Place of publication: Amsterdam [u.a.]
Publishing house: Elsevier
ISSN: 0001-8791 , 1095-9084
Publication language: English
Institution: Außerfakultäre Einrichtungen > Graduate School of Economic and Social Sciences - CDSB (Business Studies)
Business School > ABWL, Personalmanagement u. Führung (Biemann)
Subject: 330 Economics
Keywords (English): Optimal matching analysis , Career pattern , Occupational trajectory
Abstract: Optimal matching is a method for the analysis of sequential data. It allows researchers to detect patterns in career sequences or occupational trajectories. We first give a brief introduction to the method and review the existing career literature that employs optimal matching. To examine which data properties are required for optimal matching analysis, we conducted Monte Carlo simulations of career sequences with varying parameters for sequence length, sample size and missing items. We find that sequence length is the relevant factor for correct results, while sample size does not substantially affect result quality. Another important finding is that sequences with up to 30% elements missing can be used for optimal matching analysis. We also show which settings for the optimal matching procedure deliver the best results.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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