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Measurement in Medicine: A Practical Guide
Abstract
The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.
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“This study examined the PAAQ-J’s reliability and validity according to COSMIN’s framework [27] (see also [28]).”
From Psychometric Properties of the Japanese Version of the Parental Acceptance and Action Questionnaire in Parents with Infants and Toddlers (2023) · cites this paper as [28]
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“This may occur when 15% or more of the respondents score at the lower (floor) or upper (ceiling) end of the scale, thus could indicate a limited content validity (Terwee et al., 2007; de Vet et al., 2011).”
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“Although GRC questions are frequently used to calculate anchor-based MIC values, they have been criticized for its measurement performance and susceptibility to recall bias (de Vet et al., 2011; Grovle et al., 2014; Kamper et al., 2009).”
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Metadata
- Authors
- de Vet, H. C. W., Terwee, C. B., Mokkink, L. B., & Knol, D. L.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2011-08-11
- OpenAlex
- W4240787498
- Cited by
- 2,321
- References
- 0
- Citations by year
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- FWCI
- 45.18
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- measurement instruments, instrument development, instrument evaluation, reliability statistics, validity, responsiveness, measurement properties, Apgar score, psychometrics, health measurement
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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