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Validity: on meaningful interpretation of assessment data
1Department of Medical Education, College of Medicine, University of Illinois at Chicago, 60612-7309, USA. sdowning@uic.edu
Medical Education
|September 26, 2003
Summary
Validity in medical education assessments requires construct validity, supported by multiple evidence sources. This article examines evidence for written and performance exams, emphasizing score interpretation over simple valid/invalid labels.
Area of Science:
- Medical Education Assessment
- Educational Psychology
- Psychometrics
Background:
- Meaningful interpretation of medical education assessments hinges on validity evidence.
- Contemporary understanding defines all validity as construct validity, encompassing multiple facets and evidence sources.
- The Standards for Educational and Psychological Testing identify five key sources for validity evidence: content, response process, internal structure, relationships with other variables, and consequences.
Purpose of the Study:
- To elucidate the concept of construct validity within medical education.
- To illustrate typical sources of validity evidence using examples of written and performance-based examinations.
- To underscore the necessity of robust validity evidence for score interpretation in medical training.
Main Methods:
- Discussion of construct validity principles in medical education.
- Exemplification of validity evidence sources using written examinations.
- Exemplification of validity evidence sources using performance examinations.
Main Results:
- Assessments are not inherently valid or invalid; rather, their scores possess varying degrees of evidence supporting specific interpretations.
- Validity is approached as a hypothesis, utilizing theory, logic, and scientific methods to gather data.
- Arguments for and against specific interpretations of assessment data are constructed from collected evidence.
Conclusions:
- All assessments necessitate evidence supporting the reasonableness of their proposed interpretations, as test data lacks intrinsic meaning.
- The constructs measured by assessments are crucial for students, faculty, administrators, patients, and society, demanding strong scientific evidence of their meaning.
- Validity is an ongoing process, requiring continuous collection and evaluation of evidence to support score interpretations.