400
Views
4
CrossRef citations to date
0
Altmetric
Applied Research

Attitudes of Affiliate Faculty Members Toward Medical Student Summative Evaluation for Clinical Clerkships: A Qualitative Analysis

, , &
Pages 8-17 | Published online: 17 Jan 2012
 

Abstract

Background: Summative evaluation of medical students is a critical component of the educational process. Despite extensive literature on evaluation, few studies have centered on affiliate faculty members’ attitudes toward summative evaluation of students, though it has been suggested that these attitudes influence their effectiveness as evaluators. Purpose: The objective is to examine affiliate faculty members’ attitudes toward clinical clerkship evaluation using primarily qualitative research methods. Methods: The study used a nonexperimental research design and employed mixed methods. Data were collected through interviews, focus groups, and a questionnaire from 11 affiliate faculty members. Results: Themes emerging from the data fell into three broad categories: (a) factors that influence grading, (b) consequences of negative evaluations, and (c) disconnections in the grading process. The quantitative portion of the study revealed important discrepancies supporting the use of qualitative methods. Conclusions: The study highlights faculty members’ struggles with the evaluative process and emphasizes the need for improvements in evaluation tools and faculty development.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 464.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.