Blog
About

189
views
1
recommends
+1 Recommend
0 collections
    9
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Gender and cultural bias in student evaluations: Why representation matters

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references 17

          • Record: found
          • Abstract: not found
          • Article: not found

          Student Evaluation of College Teaching Effectiveness: a brief review

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

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

                Bookmark

                Author and article information

                Affiliations
                [1 ] School of Mathematics and Statistics, UNSW, Sydney, Australia
                [2 ] Department of Government and International Relations, The University of Sydney, Sydney, Australia
                [3 ] Division of Academic, UNSW Sydney, Australia
                [4 ] Division of Research, UNSW Sydney, Australia
                [5 ] School of Biological, Earth and Environmental Sciences, UNSW Sydney, Australia
                University of Indianapolis, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Contributors
                ORCID: http://orcid.org/0000-0003-3783-9179, Role: Conceptualization, Role: Formal analysis, Role: Investigation, Role: Methodology, Role: Project administration, Role: Supervision, Role: Writing – original draft, Role: Writing – review & editing
                Role: Conceptualization, Role: Writing – review & editing
                Role: Formal analysis, Role: Methodology, Role: Validation, Role: Writing – original draft, Role: Writing – review & editing
                Role: Conceptualization, Role: Data curation
                Role: Conceptualization, Role: Funding acquisition, Role: Project administration, Role: Writing – review & editing
                Role: Conceptualization, Role: Funding acquisition
                Role: Conceptualization, Role: Supervision, Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2019
                13 February 2019
                : 14
                : 2
                PONE-D-18-14789
                10.1371/journal.pone.0209749
                6373838
                30759093
                © 2019 Fan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                Counts
                Figures: 5, Tables: 4, Pages: 16
                Product
                Funding
                This study was funded by Division of the Deputy Vice-Chancellor Academic, UNSW. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                People and Places
                Population Groupings
                Professions
                Teachers
                Social Sciences
                Sociology
                Culture
                Social Sciences
                Sociology
                Education
                Schools
                Universities
                People and Places
                Population Groupings
                Professions
                Instructors
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Science Policy
                Science and Technology Workforce
                Careers in Research
                Engineers
                People and Places
                Population Groupings
                Professions
                Engineers
                Engineering and Technology
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Language
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Language
                Social Sciences
                Psychology
                Cognitive Psychology
                Language
                Custom metadata
                All data underlying the study are within the paper and its Supporting Information files.

                Uncategorized

                Comments

                Comment on this article