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Author: search.filters.author.Bornmann, L.Language: search.filters.language.English

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  • Item type:Publication,
    Gender differences in grant peer review: A meta-analysis Open PDF 
    (2007)
    Bornmann, L.
    ;
    Mutz, R.
    ;
    Daniel, H.-D.
    Narrative reviews of peer review research have concluded that there is negligible evidence of gender bias in the awarding of grants based on peer review. Here, we report the findings of a meta-analysis of 21 studies providing, to the contrary, evidence of robust gender differences in grant award procedures. Even though the estimates of the gender effect vary substantially from study to study, the model estimation shows that all in all, among grant applicants men have statistically significant greater odds of receiving grants than women by about 7%. © 2007 Elsevier Ltd. All rights reserved.
  • Item type:Publication,
    How to detect indications of potential sources of bias in peer review: A generalized latent variable modeling approach exemplified by a gender study Open PDF 
    (2008)
    Bornmann, L.
    ;
    Mutz, R.
    ;
    Daniel, H.-D.
    The universalism norm of the ethos of science requires that contributions to science are not excluded because of the contributors' gender, nationality, social status, or other irrelevant criteria. Here, a generalized latent variable modeling approach is presented that grant program managers at a funding organization can use in order to obtain indications of potential sources of bias in their peer review process (such as the applicants' gender). To implement the method, the data required are the number of approved and number of rejected applicants for grants among different groups (for example, women and men or natural and social scientists). Using the generalized latent variable modeling approach indications of potential sources of bias can be examined not only for grant peer review but also for journal peer review. © 2008 Elsevier Ltd. All rights reserved.
  • Item type:Publication,
    The influence of the applicants' gender on the modeling of a peer review process by using latent Markov models Open PDF 
    (2009)
    Bornmann, L.
    ;
    Mutz, R.
    ;
    Daniel, H.-D.
    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.