Are Italian research assessment exercises size-biased
Bibliographic Data
| ID | 21442231 |
|---|---|
| Authors | Camil Demetrescu (0000-0002-4686-6745, Sapienza University of Rome), Andrea Ribichini (0000-0002-0281-4257, Sapienza University of Rome), Marco Schaerf (0000-0002-2016-1966, Sapienza University of Rome, corresponding author) |
| Year | 2020 |
| Volume | 125 |
| Issue | 1 |
| Pages | 533-549 |
| Publication date | 2020-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-020-03643-x |
| OpenAlex | W3047129010 |
| Language | EN |
| Citations received | 4 |
| References cited | 46 |
Research assessment exercises have enjoyed ever-increasing popularity in many countries in recent years, both as a method to guide public funds allocation and as a validation tool for adopted research support policies. Italy’s most recently completed evaluation effort (VQR 2011–14) required each university to submit to the Ministry for Education, University, and Research (MIUR) 2 research products per author (3 in the case of other research institutions), chosen in such a way that the same product is not assigned to two authors belonging to the same institution. This constraint suggests that larger institutions, where collaborations among colleagues may be more frequent, could suffer a size-related bias in their evaluation scores. To validate our claim, we investigate the outcome of artificially splitting Sapienza University of Rome, one of the largest universities in Europe, in a number of separate partitions, according to several criteria, noting significant score increases for several partitioning scenarios
Christian ministry · Constraint (computer-aided design) · Economics · Higher education · Institution · Microeconomics · Outcome (game theory) · Political science · Popularity · Product (mathematics) · Computer Science · Higher Education Governance and Development · Italy: Economic History and Contemporary Issues · Law · Mathematics · Psychology · scientometrics and bibliometrics research
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| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |