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Crowdsourcing Data Analysis and Coauthor Opportunity - Science, Gender, and Status

  • 1.  Crowdsourcing Data Analysis and Coauthor Opportunity - Science, Gender, and Status

    Posted 11-27-2014 21:49

    Dear Listserv members,

     

    Posted on behalf of Amy Sommer (SOMMERa@hec.fr), HEC Paris.

     

    Thanks

    Sanjee

     

    Sanjee Perera

    Listserv Manager – AoM GDO

    *******************************************************

    Dear Colleagues,

     

    I am working on a project that I think you or your colleagues might be interested in joining. We would be delighted if you take part in the project, and would also appreciate if you forwarded the project description to colleagues you think would be interested.

    We are recruiting coauthors and analysts for a second crowdsourcing data analysis project, where multiple independent analysts are recruited to test the same hypothesis on the same data set in whatever manner they see as best. If everyone comes up with the same results, then scientists can speak with one voice. If not, the subjectivity and conditionality of results on analysis strategy is made transparent.

    We developed and successfully used this approach for a project over the summer, where we examined whether soccer referees give more red card penalties to dark skin toned than light-skin toned players (Silberzahn et al., in preparation; see project page on the Open Science Framework at https://osf.io/gvm2z/). The outcome was striking: although 62% of teams obtained a significant effect in the expected direction, estimated effect sizes ranged from moderately large to practically nil.

    For this second project, we have collected the scientific dialogue from Edge.org to analyze the how gender and status affect verbal dominance and verbosity. This project adds several new key features to the first crowdsourcing project, in particular having analysts operationalize the key variables on their own and giving analysts the opportunity to propose and vote on their own hypothesis to be tested by the group.

    The project team includes Emily Robinson, Amy Sommer, Eric Uhlmann, Brian Nosek, Kaisa Snellman, David Robinson, and Raphael Silberzahn. The lead project coordinator is Emily Robinson, a PhD student in Organizational Behavior at INSEAD.

    The full project description is here. If you're interested in being one of the analysts, you can register here. All analysts who complete the listed requirements will be an author on the final paper. Please feel free to let others know about the opportunity; anyone with the relevant data analysis skills is welcome to take part.

    If you have any questions, you can email the shared project email at researchcrowdsourcing@gmail.com. Thank you for your consideration.

    Best Regards,

    Amy Sommer
    Assistant Professor of Management

    HEC Paris
    1 rue de la Libération
    78351 Jouy-en-Josas

    FRANCE
    SOMMERa@hec.fr