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Title: Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
Authors: Elizabeth Sousa Vieira
José Sarsfield Cabral
Issue Date: 2014
Abstract: A model based on a set of bibliometric indicators is proposed for the prediction of the ranking of applicants to an academic position as produced by a committee of peers. The results show that a very small number of indicators may lead to a robust prediction of about 75% of the cases. We start with 12 indicators to build a few composite indicators by factor analysis. Following a discrete choice model, we arrive at 3 comparatively good predicative models. We conclude that these models have a surprisingly good predictive power and may help peers in their selection process.
metadata.dc.type: article
Appears in Collections:CEGI - Articles in International Journals
CRACS - Articles in International Journals

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