The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models
Publication type
journal article
Publication date
2009
Author(s)
Bornmann, L.
Mutz, R.
Daniel, H.-D.
Language
English
View point(s)
Peer Review System
Abstract
In the grant peer review process we can distinguish various evaluation stages in which assessors judge applications on a rating scale. BORNMANN & AL. [2008] show that latent Markov models offer a fundamentally good opportunity to model statistically peer review processes. The main objective of this short communication is to test the influence of the applicants' gender on the modeling of a peer review process by using latent Markov models. We found differences in transition probabilities from one stage to the other for applications for a doctoral fellowship submitted by male and female applicants. © 2009 Akadémiai Kiadó, Budapest.
Journal
Scientometrics
ISSN
0138-9130
Volume
81
Issue
2
Pagination
407-411