A Framework for Using SET When Evaluating Faculty
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| Title: | A Framework for Using SET When Evaluating Faculty |
|---|---|
| Language: | English |
| Authors: | Nina Zipser (ORCID |
| Source: | Studies in Higher Education. 2025 50(1):168-182. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | College Faculty, Faculty Evaluation, Student Evaluation of Teacher Performance, Evaluation Criteria, Evaluation Methods, Evaluation Problems, Evaluation Utilization, Data Interpretation |
| DOI: | 10.1080/03075079.2024.2332412 |
| ISSN: | 0307-5079 1470-174X |
| Abstract: | This paper presents a framework for utilizing Student Evaluations of Teaching (SET) in faculty evaluations. Recognizing the ongoing debate about the validity of SET as a measure of teaching effectiveness, the authors agree with scholars who propose viewing SET as a tool for gauging 'student perceptions of learning'. They present a method that combines post-estimation residuals from an Ordinary Least Squares (OLS) model, which accounts for key confounding factors, with simple mean SET scores. This approach provides a more nuanced perspective on each faculty member's individual ratings. The authors draw on SET data from courses taught by tenured faculty in the Faculty of Arts and Sciences at a large, private university in the Northeastern United States. Their findings suggest that the proposed residual framework can help address some of the concerns associated with the use of SET in personnel decision-making. However, they caution that this approach requires careful explanation and should be used in conjunction with a comprehensive review of a professor's full teaching portfolio. The study contributes to the ongoing discourse on the use of SET in faculty evaluations, offering a more equitable and nuanced approach to interpreting SET data. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1455581 |
| Database: | ERIC |
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