ERIC Number: EJ1161763
Record Type: Journal
Publication Date: 2018
Abstractor: As Provided
A Robust Interpretation of Teaching Evaluation Ratings
Bi, Henry H.
Assessment & Evaluation in Higher Education, v43 n1 p79-93 2018
There are no absolute standards regarding what teaching evaluation ratings are satisfactory. It is also problematic to compare teaching evaluation ratings with the average or with a cutoff number to determine whether they are adequate. In this paper, we use average and standard deviation charts (X[overbar]-S charts), which are based on the theory of statistical process control, to assess five-year teaching evaluation ratings at a management school. We demonstrate that the upper and lower three-sigma limits of X[overbar]-S charts are sufficiently robust to unbiasedly identify comparatively exceptional teaching evaluation ratings. This research work makes two recommendations concerning teaching and teaching evaluations: teachers should look for special causes, which contribute to exceptional teaching evaluation ratings outside the three-sigma limits, for the purpose of making improvements or maintaining good teaching performance; if teaching evaluation ratings are used for decision-making, the teaching evaluation ratings within the three-sigma limits represent normal teaching performance and thus should not be treated differently.
Descriptors: Robustness (Statistics), Data Interpretation, Rating Scales, Computation, College Faculty, Student Evaluation of Teacher Performance, Statistical Analysis, Business Administration Education, Masters Programs, Comparative Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Authoring Institution: N/A