Career patterns: A twenty-year panel study |
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Authors: | Torsten Biemann Hannes Zacher Daniel C. Feldman |
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Affiliation: | 1. Department of Management, University of Cologne, Germany;2. School of Psychology, The University of Queensland, St. Lucia, Australia;3. Terry College of Business, University of Georgia, Athens, GA, USA |
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Abstract: | Using 20 years of employment and job mobility data from a representative German sample (N = 1259), we employ optimal matching analysis (OMA) to identify six career patterns which deviate from the traditional career path of long-term, full-time employment in one organization. Then, in further analyses, we examine which socio-demographic predictors affect whether or not individuals follow that traditional career path. Results indicate that age, gender, marital status, number of children, education, and career starts in the public sector significantly predicted whether or not individuals followed the traditional career path. The article concludes with directions for future theoretical and methodological research on career patterns. |
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