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Journal ArticleDOI

Making students' evaluations of teaching effectiveness effective: The critical issues of validity, bias, and utility.

Herbert W. Marsh, +1 more
- 01 Nov 1997 - 
- Vol. 52, Iss: 11, pp 1187-1197
TLDR
In this paper, a broad construct-validation approach is proposed to recognize that effective teaching and SETs that reflect teaching effectiveness are multidimensional, and tentative interpretations of relations with validity criteria and potential biases should be evaluated critically in different contexts, in relation to multiple criteria of effective teaching, theory, and existing knowledge.
Abstract
This article reviews research indicating that, under appropriate conditions, students' evaluations of teaching (SETs) are (a) multidimensional; (b) reliable and stable; (c) primarily a function of the instructor who teaches a course rather than the course that is taught; (d) relatively valid against a variety of indicators of effective teaching; (e) relatively unaffected by a variety of variables hypothesized as potential biases (e.g., grading leniency, class size, workload, prior subject interest); and (f) useful in improving teaching effectiveness when SETS are coupled with appropriate consultation. The authors recommend rejecting a narrow criterion-related approach to validity and adopting a broad construct-validation approach, recognizing that effective teaching and SETs that reflect teaching effectiveness are multidimensional; no single criterion of effective teaching is sufficient; and tentative interpretations of relations with validity criteria and potential biases should be evaluated critically in different contexts, in relation to multiple criteria of effective teaching, theory, and existing knowledge.

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Staff development in higher education : working to improve practices of experts in educational development of teachers and transfer of learning to the workplace

TL;DR: A submitted manuscript is the version of the article upon submission and before peer-review as discussed by the authors, while a published version is the final layout of the paper including the volume, issue and page numbers.
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She Needs a Haircut and a New Pair of Shoes: Handling Those Pesky Course Evaluations.

TL;DR: In this article, the authors make use of course evaluation data and use them to inform future practice to prevent novice and experienced faculty from becoming overwhelmed by negative feedback and lead to better teaching.
Journal ArticleDOI

Associations between majors of graduating seniors and average SATs of incoming students within higher education in the U.S.

TL;DR: A multivariate beta regression approach, which allows for overdispersion and unit-interval responses, is proposed to explore associations between graduation rates by major (explanatory variables) and SAT percentiles of new student cohorts (response).
Journal ArticleDOI

Towards the development of a web-based multi-level monitoring system for quality assurance in post-secondary education of Hong Kong

TL;DR: It is suggested that data-collection instruments for a web-based monitoring system can be developed through adaptation from extant questionnaires and inventories that are tested in their original contexts, and the re-establishment of the adapted instruments' reliability and validity in the targeted contexts.
References
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Journal ArticleDOI

Students' evaluations of University teaching: Research findings, methodological issues, and directions for future research

TL;DR: This article provided an overview of findings and of research methodology used to study students' evaluations of teaching effectiveness, and examined implications and directions for future research, concluding that students' ratings are primarily a function of the instructor who teaches a course rather than the course that is taught, and relatively valid against a variety of indicators of effective teaching.
Journal ArticleDOI

The Relationship Between Research and Teaching: A Meta-Analysis

TL;DR: A review of various models of the relationship between research and teaching in universities is presented, and the evidence necessary to assess each model is outlined as mentioned in this paper, concluding that the relationship is zero.
Journal ArticleDOI

Grading leniency is a removable contaminant of student ratings.

TL;DR: This conclusion justifies use of a statistical correction to remove the unwanted inflation of ratings produced by lenient grading, and can profitably seek other inappropriate influences on ratings to identify more opportunities for validity-enhancing adjustments.
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