The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models

被引：10

作者：

Bornmann, Lutz ^{[1
]}

Mutz, Ruediger ^{[1
]}

Daniel, Hans-Dieter ^{[1
,2
]}

机构：

[1] ETH, CH-8092 Zurich, Switzerland

[2] Univ Zurich, Evaluat Off, Zurich, Switzerland

来源：

SCIENTOMETRICS | 2009年 / 81卷 / 02期

关键词：

RELIABILITY; COMMITTEE; SELECTION; VALIDITY;

D O I：

10.1007/s11192-008-2189-2

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：407 / 411

页数：5

共 10 条

[1] Criteria used by a peer review committee for selection of research fellows - A boolean probit analysis [J].