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

Lutz Bornmann (), Rüdiger Mutz and Hans-Dieter Daniel
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Rüdiger Mutz: ETH Zurich
Hans-Dieter Daniel: ETH Zurich

Scientometrics, 2009, vol. 81, issue 2, No 8, 407-411

Abstract: 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.

Date: 2009
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DOI: 10.1007/s11192-008-2189-2

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