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      Gender and cultural bias in student evaluations: Why representation matters

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      PLOS ONE

      Public Library of Science (PLoS)

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          Abstract

          Gendered and racial inequalities persist in even the most progressive of workplaces. There is increasing evidence to suggest that all aspects of employment, from hiring to performance evaluation to promotion, are affected by gender and cultural background. In higher education, bias in performance evaluation has been posited as one of the reasons why few women make it to the upper echelons of the academic hierarchy. With unprecedented access to institution-wide student survey data from a large public university in Australia, we investigated the role of conscious or unconscious bias in terms of gender and cultural background. We found potential bias against women and teachers with non-English speaking backgrounds. Our findings suggest that bias may decrease with better representation of minority groups in the university workforce. Our findings have implications for society beyond the academy, as over 40% of the Australian population now go to university, and graduates may carry these biases with them into the workforce.

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          Most cited references 17

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          What’s in a Name: Exposing Gender Bias in Student Ratings of Teaching

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            Estimation and Comparison of Receiver Operating Characteristic Curves.

            The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Non-parametric, semiparametric and parametric estimators are calculated. Comparisons between curves are based on the area or partial area under the ROC curve. Alternatively pointwise comparisons between ROC curves or inverse ROC curves can be made. Options to adjust these analyses for covariates, and to perform ROC regression are described in a companion article. We use a unified framework by representing the ROC curve as the distribution of the marker in cases after standardizing it to the control reference distribution.
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              Student Evaluation of College Teaching Effectiveness: a brief review

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                Author and article information

                Journal
                PLOS ONE
                PLoS ONE
                Public Library of Science (PLoS)
                1932-6203
                February 13 2019
                February 13 2019
                : 14
                : 2
                : e0209749
                Article
                10.1371/journal.pone.0209749
                6373838
                30759093
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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