The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
What counts as validity evidence? Examples and prevalence in a systematic review of simulation-based assessment
Overview
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Claims the paper makes
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Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
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Citations
Cites
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575
Validity: on the meaningful interpretation of assessment data
Downing, S. M. (2003) · Medical Education · doi:10.1046/j.1365-2923.2003.01594.x · Cited by 1,434
Conceptual frameworks to illuminate and magnify
Bordage, G. (2009) · Medical Education · doi:10.1111/j.1365-2923.2009.03295.x · Cited by 479 · cited 1×
“12–13) As with other frameworks, models, and theories, (Bordage 2009) validity frameworks guide the deliberate collection and meaningful interpretation of research data.”
Cited by
Cook, D. A., & Reed, D. A. (2015) · Academic Medicine · doi:10.1097/acm.0000000000000786 · Cited by 781
Self-citationValidation of educational assessments: a primer for simulation and beyond
Cook, D. A., & Hatala, R. (2016) · Advances in Simulation · doi:10.1186/s41077-016-0033-y · Cited by 304
Self-citationConsequences Validity Evidence: Evaluating the Impact of Educational Assessments
Cook, D. A., & Lineberry, M. (2016) · Academic Medicine · doi:10.1097/acm.0000000000001114 · Cited by 129
Self-citationMuch ado about differences: why expert-novice comparisons add little to the validity argument
Cook, D. A. (2015) · Advances in Health Sciences Education · doi:10.1007/s10459-014-9551-3 · Cited by 81
Self-citationThe impact of large scale licensing examinations in highly developed countries: a systematic review
Archer, J., Lynn, N., Coombes, L., Roberts, M., Gale, T., Price, T., & Regan de Bere, S. (2016) · BMC Medical Education · doi:10.1186/s12909-016-0729-7 · Cited by 42
Metadata
- Authors
- Cook, D. A., Zendejas, B., Hamstra, S. J., Hatala, R., & Brydges, R.
- Venue
- Advances in Health Sciences Education
- Published
- 2013-05-02
- Volume
- 19
- Issue
- 2
- Pages
- 233-250
- ISSN
- 1382-4996 (ISSN-L)
- 1573-1677
- OpenAlex
- W2034478449
- Cited by
- 317
- References
- 4
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
