Literaturnachweis - Detailanzeige
Autor/in | Bi, Henry H. |
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Titel | A Robust Interpretation of Teaching Evaluation Ratings |
Quelle | In: Assessment & Evaluation in Higher Education, 43 (2018) 1, S.79-93 (15 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0260-2938 |
DOI | 10.1080/02602938.2017.1295301 |
Schlagwörter | Robustness (Statistics); Data Interpretation; Rating Scales; Computation; College Faculty; Student Evaluation of Teacher Performance; Statistical Analysis; Business Administration Education; Masters Programs; Comparative Analysis |
Abstract | 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. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |