Name
Title | ||
|---|---|---|
The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11192-008-2189-2 | Scientometrics |
Keywords | Field | DocType |
Latent Class,Latent Class Analysis,Peer Review Process,Evaluation Stage,Doctoral Fellowship | Econometrics,Data science,Data mining,Peer review,Computer science,Markov model,Latent class model,Rating scale | Journal |
Volume | Issue | ISSN |
81 | 2 | 0138-9130 |
Citations | PageRank | References |
5 | 0.72 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| lutz bornmann | 1 | 3124 | 279.75 |
| Ruediger Mutz | 2 | 666 | 39.58 |
| Hans-Dieter Daniel | 3 | 1338 | 138.60 |