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Metrological references for person ability in memory tests
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0002-3700-3921
Modus Outcomes, UK.
Charité Universitätsmedizin Berlin, Germany.
PTB Physikalisch-Technische Bundesanstalt, Germany.
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2021 (English)In: Measurement: Sensors, ISSN 2665-9174, Vol. 18, article id 100289Article in journal (Refereed) Published
Abstract [en]

To ensure reliable diagnosis and treatment consistently throughout healthcare, metrological quality assurance is essential. There are, however, many observations in the social sciences and healthcare, such as the memory tests studied here, which have been ‘claimed’ to be measurements but in fact have not been fully metrologically legitimated. We have already argued in favour of extending traditional metrological underlying principles to cover social measurements, including the development of construct specification equations (CSE) considered as ‘recipes for certified reference materials (CRM)’ for traceability, analogous to CRMs in metrology in chemistry. Although the CSE approach has to date been used mostly to explain and validate test item attributes, this paper turns to focus on causal explanations of person characteristics. We describe methods and preliminary results developed in the European EMPIR NeuroMET projects, which may be used for providing quality assured measurement of disease progression and treatment benefits for patients with neurodegenerative conditions. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 18, article id 100289
Keywords [en]
Alzheimer's, Cognition, Construct specification equations, Memory metrology, Person ability, Rasch
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:ri:diva-58284DOI: 10.1016/j.measen.2021.100289Scopus ID: 2-s2.0-85122674177OAI: oai:DiVA.org:ri-58284DiVA, id: diva2:1632373
Note

Funding details: European Metrology Programme for Innovation and Research, EMPIR; Funding details: Horizon 2020; Funding text 1: This project 18HLT09 NeuroMET2 has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme .

Available from: 2022-01-26 Created: 2022-01-26 Last updated: 2023-05-25Bibliographically approved

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Melin, JeanettePendrill, Leslie

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