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Abstract  

This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the large heterogeneity in research output and the individual researcher preferences by endogenously weighting the various output dimensions. The approach offers three important advantages compared to the traditional approaches: (1) flexibility in the aggregation of different research outputs into an overall evaluation score; (2) a reduction of the impact of measurement errors and a-typical observations; and (3) a correction for the influences of a wide variety of factors outside the evaluated researcher’s control. As a result, research evaluations are more effective representations of actual research performance. The methodology is illustrated on a data set of all faculty members at a large polytechnic university in Belgium. The sample includes questionnaire items on the motivation and perception of the researcher. This allows us to explore whether motivation and background characteristics (such as age, gender, retention, etc.,) of the researchers explain variations in measured research performance.

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Introduction Since the publication of Hirsch's paper in 2005 that proposes what is now called the ‘ h -index’ as a way to quantify an individual's research performance, many other metrics have been developed and promoted as

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national research performance . Scientometrics 51 1 335 – 346 10.1023/A:1010549719484 .

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Scientometrics
Authors: Ludo Waltman, Nees Jan van Eck, Thed N. van Leeuwen, Martijn S. Visser, and Anthony F. J. van Raan

generally agreed that in citation-based research performance evaluations one needs to control for the field and the year in which a publication was published. In performance evaluation studies, our institute, the Centre for Science and Technology Studies

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Introduction In bibliometric and scientometric research, there is a trend towards developing more and more sophisticated citation-based research performance indicators. In this paper, we are concerned with two streams of

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important finding of Seglen was the poor correlation between the impact of publications and journal impact at the level of individual publications . Seglen therefore concluded that the use of journal impact as an indicator for research performance

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. Moed , HF RE De Bruin TN Van Leeuwen 1995 New bibliometric tools for the assessment of national research performance

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.01.005 . Glänzel , W , Thijs , B , Schubert , A , Debackere , K 2009 Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance

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institution i . 6 Institutions can be ordered at will so that ( 1 ) defines S r for researcher in any school. The pseudo-Shapley value S r is the contribution of an individual scholar to the research performance of a school, averaged over all schools. It

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emerged as very relevant, since it enables the introduction of a more sociological perspective in the study of research performance (Feist 1993 ; Hemlin and Gustafsson 1996 ; Prpic 2000 ; Fox and Stephan 2001 ). This paper focuses on one

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