The DOI matches its Crossref record; 32 of the 33 references it cites were found in a registry or an index.
Validity: on the meaningful interpretation of assessment data
Abstract
Context All assessments in medical education require evidence of validity to be interpreted meaningfully. In contemporary usage, all validity is construct validity, which requires multiple sources of evidence; construct validity is the whole of validity, but has multiple facets. Five sources – content, response process, internal structure, relationship to other variables and consequences – are noted by the Standards for Educational and Psychological Testing as fruitful areas to seek validity evidence. Purpose The purpose of this article is to discuss construct validity in the context of medical education and to summarize, through example, some typical sources of validity evidence for a written and a performance examination. Summary Assessments are not valid or invalid; rather, the scores or outcomes of assessments have more or less evidence to support (or refute) a specific interpretation (such as passing or failing a course). Validity is approached as hypothesis and uses theory, logic and the scientific method to collect and assemble data to support or fail to support the proposed score interpretations, at a given point in time. Data and logic are assembled into arguments – pro and con – for some specific interpretation of assessment data. Examples of types of validity evidence, data and information from each source are discussed in the context of a high‐stakes written and performance examination in medical education. Conclusion All assessments require evidence of the reasonableness of the proposed interpretation, as test data in education have little or no intrinsic meaning. The constructs purported to be measured by our assessments are important to students, faculty, administrators, patients and society and require solid scientific evidence of their meaning.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The currently accepted understanding of validity places an emphasis on construct validity as the ''whole'' of the validity argument (Downing 2003).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Downing 2003
Citations
Cites
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
Messick, S. (1995) · American Psychologist · doi:10.1037/0003-066x.50.9.741 · Cited by 4,198
Educational measurement, 3rd ed.
Linn, R. L. (1989) · Cited by 2,858
Handbook of Modern Item Response Theory
van der Linden, W. J., & Hambleton, R. K. (1997) · Springer eBooks · doi:10.1007/978-1-4757-2691-6 · Cited by 2,323
Douglas, O. B., & Holland, B. F. (2015) · MacMillan Co eBooks · doi:10.1037/14910-020 · Cited by 2,283
Differential Item Functioning.
Gudgeon, A. C., Holland, P. W., & Wainer, H. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348590 · Cited by 2,088
Hambleton, R. K., & Swaminathan, H. (1985) · doi:10.1007/978-94-017-1988-9 · Cited by 1,777
Objective Tests as Instruments of Psychological Theory
Loevinger, J. (1957) · Psychological Reports · doi:10.2466/pr0.1957.3.3.635 · Cited by 1,476
Brennan, R. L. (2001) · doi:10.1007/978-1-4757-3456-0 · Cited by 1,121
Research works printed but not linked: 7
- Cronbach LJ, 1971, Educational Measurement, 443
- Cronbach LJ, 1988, Test Validity, 3
- Cronbach LJ, 1989, Intelligence: Measurement, Theory, and Public Policy, 147
- 10.1037/0033-2909.112.3.527 · DOI
- Cureton EE, 1951, Educational Measurement, 621
- Linn RL, 2002, Large‐Scale Assessment Programs for All Students: Development, Implementation, and Analysis.
- Angoff WH, 1971, Educational Measurement, 508
Cited by
Sorted by citations
Current Concepts in Validity and Reliability for Psychometric Instruments: Theory and Application
Cook, D. A., & Beckman, T. J. (2006) · The American Journal of Medicine · doi:10.1016/j.amjmed.2005.10.036 · Cited by 1,745
A critical review of simulation‐based medical education research: 2003–2009
McGaghie, W. C., Issenberg, S. B., Petrusa, E. R., & Scalese, R. J. (2010) · Medical Education · doi:10.1111/j.1365-2923.2009.03547.x · Cited by 1,733
Assessing professional competence: from methods to programmes
Van Der Vleuten, C. P. M., & Schuwirth, L. W. T. (2005) · Medical Education · doi:10.1111/j.1365-2929.2005.02094.x · Cited by 1,268
Association Between Funding and Quality of Published Medical Education Research
Reed, D. A., Cook, D. A., Beckman, T. J., Levine, R. B., Kern, D. E., & Wright, S. M. (2007) · JAMA · doi:10.1001/jama.298.9.1002 · Cited by 961
Patient-reported outcomes: A new era in clinical research
Deshpande, P., Rajan, S., Sudeepthi, B., & Abdul Nazir, C. (2011) · Perspectives in Clinical Research · doi:10.4103/2229-3485.86879 · Cited by 811
Metadata
- Authors
- Downing, S. M.
- Affiliations
- University of Illinois Chicago (US)
- Corresponding author
- Downing, Steven M
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2003-08-27
- Volume
- 37
- Issue
- 9
- Pages
- 830-837
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2161254436
- Cited by
- 1,434
- References
- 33
- Citations by year
- 2026: 74 · 2025: 65 · 2024: 74 · 2023: 71 · 2022: 92 · 2021: 94 · 2020: 110 · 2019: 91 · 2018: 94 · 2017: 89 · 2016: 99 · 2015: 96 · 2014: 69 · 2013: 54 · 2012: 48
- FWCI
- 12.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Education (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Keywords
- construct validity, validity evidence, medical education assessment, written examinations, high-stakes testing, score interpretation, content validity, response processes, internal structure, Standards for Educational and Psychological Testing
- MeSH terms
- Data Interpretation, Statistical, Education, Medical, Educational Measurement, Humans, Reproducibility of Results
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review