A multivariate stochastic model to assess research performance
Abstract
There is a worldwide trend towards application of bibliometric research evaluation, in support of the needs of policy makers and research administrators. However the assumptions and limitations of bibliometric measurements suggest a probabilistic rather than the traditional deterministic approach to the assessment of research performance. The aim of this work is to propose a multivariate stochastic model for measuring the performance of individual scientists and to compare the results of its application with those arising from a deterministic approach. The dataset of the analysis covers the scientific production indexed in Web of Science for the 2006-2010 period, of over 900 Italian academic scientists working in two distinct fields of the life sciences.
Keywords
Cite
@article{arxiv.1810.12827,
title = {A multivariate stochastic model to assess research performance},
author = {Giovanni Abramo and Corrado Costa and Ciriaco Andrea D'Angelo},
journal= {arXiv preprint arXiv:1810.12827},
year = {2018}
}