How reliable are assessments of clinical teaching?
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BACKGROUND: Learner feedback is the primary method for evaluating clinical faculty, despite few existing standards for measuring learner assessments.
OBJECTIVE: To review the published literature on instruments for evaluating clinical teachers and to summarize themes that will aid in developing universally appealing tools.
DESIGN: Searching 5 electronic databases revealed over 330 articles. Excluded were reviews, editorials, and qualitative studies. Twenty-one articles describing instruments designed for evaluating clinical faculty by learners were found. Three investigators studied these papers and tabulated characteristics of the learning environments and validation methods. Salient themes among the evaluation studies were determined.
MAIN RESULTS: Many studies combined evaluations from both outpatient and inpatient settings and some authors combined evaluations from different learner levels. Wide ranges in numbers of teachers, evaluators, evaluations, and scale items were observed. The most frequently encountered statistical methods were factor analysis and determining internal consistency reliability with Cronbach’s α. Less common methods were the use of test-retest reliability, interrater reliability, and convergent validity between validated instruments. Fourteen domains of teaching were identified and the most frequently studied domains were interpersonal and clinical-teaching skills.
CONCLUSIONS: Characteristics of teacher evaluations vary between educational settings and between different learner levels, indicating that future studies should utilize more narrowly defined study populations. A variety of validation methods including temporal stability, interrater reliability, and convergent validity should be considered. Finally, existing data support the validation of instruments comprised solely of interpersonal and clinical-teaching domains.
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- How reliable are assessments of clinical teaching?
Journal of General Internal Medicine
Volume 19, Issue 9 , pp 971-977
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- evaluation studies
- medical faculty
- Industry Sectors
- Author Affiliations
- 1. Department of Internal Medicine, Department of Medicine, Mayo Clinic College of Medicine, Mayo Clinic and Mayo Foundation, Rochester, Minn.
- 2. Plummer Medical Library, Mayo Clinic College of Medicine, Rochester, Minn
- 3. Department of Health Sciences Research, Division of Biostatistics, Mayo Clinic and Mayo Foundation, Rochester, Minn