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

Bornmann, Lutz ; Mutz, Rüdiger ; Daniel, Hans-Dieter

In: Scientometrics, 2009, vol. 81, no. 2, p. 407-411

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    Titre
    • The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models
    Auteur
    • Bornmann, Lutz. Professorship for Social Psychology and Research on Higher Education, ETH Zurich, Zähringerstr. 24, CH-8092, Zurich, Switzerland
    • Mutz, Rüdiger. Professorship for Social Psychology and Research on Higher Education, ETH Zurich, Zähringerstr. 24, CH-8092, Zurich, Switzerland
    • Daniel, Hans-Dieter. Professorship for Social Psychology and Research on Higher Education, ETH Zurich, Zähringerstr. 24, CH-8092, Zurich, Switzerland
    Type de document
    • Postprint
    Classification
    • Informatique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:311238
    Summary
    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