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Construct specification equations: ‘Recipes’ for certified reference materials in cognitive measurement
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0002-3700-3921
Modus Outcomes, UK.
University Medicine Greifswald, Germany; German Center for Neurodegenerative Diseases, Germany.
Charité Universitätsmedizin Berlin, Germany.
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2021 (English)In: Measurement: Sensors, ISSN 2665-9174, Vol. 18, article id 100290Article in journal (Refereed) Published
Abstract [en]

Construct specification equations (CSEs), providing a comprehensive understanding of the construct purported to be measured and how a collection of items works together causally, are candidate ‘recipes for certified reference materials’ (CRM). Analogous to the role of CRMs in areas such as chemistry and material properties, CSEs appear to provide metrological traceability in the human sciences. In this work we illustrate how memory test items, Rasch Measurement Theory (RMT) and CSEs can be brought together to help ‘tell a clearer story’ about memory decline that links language- and cultural-free items (blocks, digits) to more complex word recall. Combining different test items to form novel cognitive metrics, done carefully so not jeopardize validity and to enhance coherence in item design and purpose, is guided by entropy-based equivalence criteria identified in the CSEs. The novel NeuroMET Memory Metric may enable better-informed high stakes decision-making and more efficient and valid cognitive assessment.

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 18, article id 100290
Keywords [en]
Cognition, Entropy, Metrology, Person ability, Rasch, Task difficulty
National Category
Neurology
Identifiers
URN: urn:nbn:se:ri:diva-58285DOI: 10.1016/j.measen.2021.100290Scopus ID: 2-s2.0-85122652028OAI: oai:DiVA.org:ri-58285DiVA, id: diva2:1632380
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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