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dc.contributor.authorHeim, Michael Thomas
dc.description.abstractAn ongoing debate in society is about the existence of a wage gap between genders, and society’s alleged preference to hire a man over an equally qualified woman. This debate extends from the commercial employment world into the funding of research grants. Given data collected at North Dakota State University between 2012 and 2018 have women who have sought federal funding for their research experienced a gender bias? To investigate, a logistic regression model is fit to determine whether gender affects funding probability. Other characteristics such as the primary investigator’s college, requested amount, and the research team’s make up of tenured and Caucasian members is also investigated. It was found that there is not a gender bias towards faculty at NDSU. Naturally, there was a bias towards researchers from different colleges and towards proposals requesting less funding. Surprisingly, a bias towards higher-proportion Caucasian research projects was found.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleInvestigating Gender Bias Among Grant Applicantsen_US
dc.typeThesisen_US
dc.date.accessioned2021-05-10T19:28:05Z
dc.date.available2021-05-10T19:28:05Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/10365/31847
dc.subjectbiasen_US
dc.subjectgenderen_US
dc.subjectlogisticen_US
dc.subjectmodelen_US
dc.subjectregressionen_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeScience and Mathematicsen_US
ndsu.departmentStatisticsen_US
ndsu.advisorMagel, Rhonda


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