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The Performance of German Research Training Groups in Different Disciplinary Fields: An Empirical Assessment

Author

Listed:
  • Birgit Unger

    (Eberhard Karls Universitaet Tuebingen)

  • Kerstin Pull

    (Eberhard Karls Universitaet Tuebingen)

  • Uschi Backes-Gellner

    (Institute for Strategy and Business Economics, University of Zurich)

Abstract

In the early 90s, the German Research Foundation (Deutsche Forschungsgemeinschaft, abbr. DFG) established a new form of graduate education: the so-called Research Training Groups (RTGs). Comparable to PhD programs in the US, RTGs offer a structured course program and a framework for collaborative research for young researchers. As a result, the comple¬tion rate of doctoral degrees and the scientific visibility of doctoral and postdoctoral research were held to increase. However, the performance of German RTGs has not been evaluated as yet. In this paper, we undertake a first step in that direction and assess the performance of German RTGs in two different disciplinary fields (humanities & social sciences vs. natural & life sciences). We do so in two important respects by assessing (1) the doctoral completion rate as an immediate outcome of the graduate teaching undertaken and (2) the scientific visibility of doctoral and postdoctoral students as measured by their publication and presen¬tation output. In our analysis of 86 German RTGs we are able to show that the performance of German RTGs varies considerably in and between the different disciplinary fields. An additionally performed Data Envelopment Analysis (DEA) hints at a considerable potential for a performance improvement.

Suggested Citation

  • Birgit Unger & Kerstin Pull & Uschi Backes-Gellner, 2009. "The Performance of German Research Training Groups in Different Disciplinary Fields: An Empirical Assessment," Working Papers 0099, University of Zurich, Institute for Strategy and Business Economics (ISU).
    • Handle: RePEc:iso:wpaper:0099
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    References listed on IDEAS

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    1. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    4. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, January.
    5. Leo Egghe & Ronald Rousseau & Guido Van Hooydonk, 2000. "Methods for accrediting publications to authors or countries: Consequences for evaluation studies," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 145-157.
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    Keywords

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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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