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Filtering by: Committee Member Stout, Christopher T. Remove constraint Committee Member: Stout, Christopher T. Contributor sim Barnd, Natchee Remove constraint Contributor sim: Barnd, Natchee Language English [eng] Remove constraint Language: English [eng]

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  • The Women's March 2017: Predicting Participation in an Unprecedented Protest

    Creator:
    Mina, Catherine Ligaya
    Abstract:
    On January 21, 2017, the United States bore witness to the largest single-day demonstration in history—the Women’s March. This mixed methods study uses a combination of quantitative and qualitative data in an attempt to predict participation in this infamous protest. I divulge the ways in which the 2017 Women’s March...
    Resource Type:
    Honors College Thesis
    Full Text:
    _____________________________________________________________________ Christopher Stout, Committee Member, representing Political Science