Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related from Studies in Educational Evaluation, September 2017
- "Our up-to-date meta-analysis of all multisection studies revealed no significant correlations between the SET ratings and learning. These findings suggest that institutions focused on student learning and career success may want to abandon SET ratings as a measure of faculty's teaching effectiveness."
Research suggests students are biased against female lecturers from The Economist, September 21, 2017.
- This article discusses a new study demonstrating gender bias in student evaluations of teaching.
Students Don’t Always Recognize Good Teaching, Study Finds, by Dan Berrett in the Chronicle of Higher Education, May 9, 2017
- "High-quality instruction didn’t necessarily predict positive feedback on student evaluations, the researchers found. Instead, high marks on evaluations were most positively correlated with students’ grades in a course, meaning that instructors tended to be rewarded with high ratings if they gave good grades."
To Advance Science, It's Time to Tackle Unconscious Bias, by Geraldine Richmond, accessed 6.9.2016 on LiveScience.com
- Here is a link to the study referenced in the article: Science faculty’s subtle gender biases favor male students
Student evaluations of teaching are not only unreliable, they are significantly biased against female instructors, by Anne Boring, Kellie Ottoboni and Philip B. Stark, accessed 6.13.2016 on the LSE Impact blog
- Here is a link to the study referenced in the article: Student evaluations of teaching (mostly) do not measure teaching effectiveness
Here are four articles which talk about gender bias in letters of recommendation:
- Exploring the color of glass: letters of recommendation for female and male medical faculty, by Frances Trix and Carolyn Psenka (2003)
- A Linguistic Comparison of Letters of Recommendation for Male and Female Chemistry and Biochemistry Job Applicants, by Toni Schmader, Jessica Whitehead and Vicki H. Wysocki (2007)
- Damning With Faint Praise: Study suggests that language recommendation writers use to describe women may disadvantage them as job candidates, portraying them as less dynamic and excellent than male counterparts, by Colleen Flaherty (2016)
If There’s Only One Woman in Your Candidate Pool, There’s Statistically No Chance She’ll Be Hired, by Stefanie K. Johnson, David R. Hekman, and Elsa T. Chan, Harvard Business Review, April 26, 2016
- Although the authors note that this research has not yet been published in a peer-reviewed journal, they have identified a strategy for increasing the hiring rates of women and minorities: "we believe this “get two in the pool effect” represents an important first step for overcoming unconscious biases and ushering in the racial and gender balance that we want in organizations.
Evaluating students’ evaluations of professors, by Michela Bragaa, Marco Paccagnellab, Michele Pellizzaric in Economics of Education Review, August 2014
- This study finds that students rate effective teachers more negatively: " Moreover, our measure of teaching quality is negatively correlated with the students’ evaluations of the professors: teachers who are associated with better subsequent performance receive worst [sic] evaluations from their students." Also, weather matters: "Our results show that students evaluate professors more negatively on rainy and cold days.
The Impact of Gender on the Evaluation of Teaching: What We Know and What We Can Do, by Heather Laube, et al., in NWSA Journal (2007) discusses gender bias in student evaluations and offers some suggestions for mitigating this bias.
Raising Awareness of Unconscious Assumptions and Their Influence on Evaluation of Candidates is based on Searching for Excellence & Diversity: A Guide for Search Committee Chairs, a guide developed by the Women in Science & Engineering Leadership Institute (WISELI) at the University of Wisconsin Madison.
Bias, the Brain, and Student Evaluations of Teaching, by Deborah J. Merritt. St. John's Law Review (2008).
Are Student Teaching Evaluations Holding Back Women and Minorities? by Sylvia R. Lazos in Presumed Incompetent: The Intersections of Race and Class for Women in Academia (2012).
Here is an Annotated Bibliography on Gender Bias in the Academe.
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