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Metrological advancements in cognitive measurement: A worked example with the NeuroMET memory metric providing more reliability and efficiency
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0002-3700-3921
Modus Outcomes Ltd, UK.
German Center for Neurodegenerative Diseases, Germany; University Medicine Greifswald, Germany.
Universitätsmedizin Berlin, Germany.
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2023 (English)In: Measurement: Sensors, ISSN 2665-9174, Vol. 25, article id 100658Article in journal (Refereed) Published
Abstract [en]

Better metrics of cognition can be formed by carefully combining selected items from legacy short-term memory tests so as to enhance coherence in item design while not jeopardizing validity. In this paper, we report on how Rasch Measurement Theory and Construct specification equations (CSE) have been brought together when composing the NeuroMET Memory Metric (NMM). The NMM is guided by: i) entropy-based equivalence criteria; ii) a comprehensive understanding of the construct purported to be measured; and iii) how a collection of items works together. CSEs play a major role in ensuring the metrological legitimacy of the NMM in a way analogous to certified reference materials in more established areas of metrology. The resulting NMM for short-term memory recall has up to a five-fold reduction in measurement uncertainties for memory ability compared with an individual legacy test, and the entropy-based CSEs should enable more efficient and valid assessment. © 2022 The Authors

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 25, article id 100658
Keywords [en]
Cognition, Entropy, Metrology, Person ability, Rasch, Task difficulty
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-62564DOI: 10.1016/j.measen.2022.100658Scopus ID: 2-s2.0-85145294160OAI: oai:DiVA.org:ri-62564DiVA, id: diva2:1729761
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: 2023-01-23 Created: 2023-01-23 Last updated: 2023-05-25Bibliographically approved

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Melin, JeanettePendrill, Leslie

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