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The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes
Open accessAbstract
Objective Lack of consensus on taxonomy, terminology, and definitions has led to confusion about which measurement properties are relevant and which concepts they represent. The aim was to clarify and standardize terminology and definitions of measurement properties by reaching consensus among a group of experts and to develop a taxonomy of measurement properties relevant for evaluating health instruments.Study design and setting An international Delphi study with four written rounds was performed. Participating experts had a background in epidemiology, statistics, psychology, and clinical medicine. The panel was asked to rate their (dis)agreement about proposals on a five-point scale. Consensus was considered to be reached when at least 67% of the panel agreed.Results Of 91 invited experts, 57 agreed to participate and 43 actually participated. Consensus was reached on positions of measurement properties in the taxonomy (68-84%), terminology (74-88%, except for structural validity [56%]), and definitions of measurement properties (68-88%). The panel extensively discussed the positions of internal consistency and responsiveness in the taxonomy, the terms "reliability" and "structural validity," and the definitions of internal consistency and reliability.Conclusions Consensus on taxonomy, terminology, and definitions of measurement properties was reached. Hopefully, this will lead to a more uniform use of terms and definitions in the literature on measurement properties.
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“COSMIN requires reliability to be assessed by intra-class correlation coefficients or weighted Kappa and it requires multiple observations in time71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“COSMIN requires that factor analyses or IRT/Rasch analyses are used to assess structural validity71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“COSMIN requires a comparison to either another scale aiming to measure a similar construct or hypothesis testing among subgroups71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“COSMIN allows several ways to test scale’s responsiveness including hypothesis testing before and after intervention, comparison between subgroups, comparison with other outcome measurement instruments, or comparison to a gold standard71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“COSMIN requires Cronbach’s alpha(s) to be calculated for each unidimensional scale or subscale71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
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The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“COSMIN requires multiple group factor analysis or DIF analysis to be used to assess cross-cultural validity71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“COSMIN requires smallest detectable change or limits of agreement to be measured to assess the measurement error.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“COSMIN requires multiple group factor analysis or DIF analysis to be used to assess measurement invariance71.”
From A systematic review of AI literacy scales (2024) · cites this paper as [71]
Experimental — accuracy not yet measured
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Metadata
- Authors
- Mokkink, L. B., Terwee, C. B., Patrick, D. L., Alonso, J., Stratford, P. W., Knol, D. L., Bouter, L. M., & de Vet, H. C. W.
- Affiliations
- Amsterdam Public Health (NL)
- University of Washington (US)
- Municipal Institute for Medical Research (ES)
- McMaster University (CA)
- Corresponding author
- Mokkink, Lidwine B.
- ORCID
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 63
- Issue
- 7
- Pages
- 737-745
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2171762906
- Cited by
- 4,465
- References
- 16
- Citations by year
- 2026: 345 · 2025: 416 · 2024: 495 · 2023: 458 · 2022: 425 · 2021: 452 · 2020: 384 · 2019: 278 · 2018: 253 · 2017: 236 · 2016: 220 · 2015: 149 · 2014: 149 · 2013: 92 · 2012: 60
- FWCI
- 205.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- VU Research Portal (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- measurement properties, COSMIN, terminology standardization, internal consistency, responsiveness, reliability statistics, structural validity, expert consensus
- MeSH terms
- Clinical Protocols, Data Interpretation, Statistical, Delphi Technique, Health Status, Health Status Indicators, Humans, International Cooperation, Terminology as Topic, Psychometrics, Quality of Life, Surveys and Questionnaires, Reproducibility of Results, Outcome Assessment, Health Care, Guidelines as Topic, Consensus
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