Latent Markov modelling applied to grant peer review
| dc.creator | Bornmann, Lutz | |
| dc.creator | Mutz, Ruediger | |
| dc.creator | Daniel, Hans-Dieter | |
| dc.date | 2006-04-03 | |
| dc.date.accessioned | 2026-07-07T08:07:41Z | |
| dc.date.available | 2026-07-07T08:07:41Z | |
| dc.description | In the grant peer review process we can distinguish various evaluation stages in which assessors judge applications on a rating scale. Research on this process that considers its multi-stage character scarcely exists. In this study we analyze 1954 applications for doctoral and post-doctoral fellowships of the Boehringer Ingelheim Fonds (B.I.F.), assessed in three stages (first: evaluation by an external reviewer; second: internal evaluation by a staff member; third: final decision by the B.I.F. Board of Trustees). The results show that an application only has a chance of approval if it was recommended for support in the first evaluation stage. Therefore, a form of triage or pre-screening seems desirable. We found differences in transition probabilities from one stage to the other for doctoral applicants submitted by males and females. | |
| dc.identifier | https://arxiv.org/abs/math/0604039 | |
| dc.identifier | http://arxiv.org/abs/math/0604039 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/131017 | |
| dc.subject | Statistics Theory | |
| dc.subject | 62-07 | |
| dc.title | Latent Markov modelling applied to grant peer review | |
| dc.type | text |