Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Role of Entropy in Construct Specification Equations (CSE) to Improve the Validity of Memory Tests: Extension to Word Lists
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0002-3700-3921
Modus Outcomes, UK.
University Medicine Greifswald, UK; German Center for Neurodegenerative Diseases, UK.
Universitätsmedizin Berlin as a Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany; NeuroCure Clinical Research Center, Charité—Universitätsmedizin Berlin as a Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
Show others and affiliations
2022 (English)In: Entropy, E-ISSN 1099-4300, Vol. 24, no 7, article id 934Article in journal (Refereed) Published
Abstract [en]

Metrological methods for word learning list tests can be developed with an information theoretical approach extending earlier simple syntax studies. A classic Brillouin entropy expression is applied to the analysis of the Rey’s Auditory Verbal Learning Test RAVLT (immediate recall), where more ordered tasks—with less entropy—are easier to perform. The findings from three case studies are described, including 225 assessments of the NeuroMET2 cohort of persons spanning a cognitive spectrum from healthy older adults to patients with dementia. In the first study, ordinality in the raw scores is compensated for, and item and person attributes are separated with the Rasch model. In the second, the RAVLT IR task difficulty, including serial position effects (SPE), particularly Primacy and Recency, is adequately explained (Pearson’s correlation = 0.80) with construct specification equations (CSE). The third study suggests multidimensionality is introduced by SPE, as revealed through goodness-of-fit statistics of the Rasch analyses. Loading factors common to two kinds of principal component analyses (PCA) for CSE formulation and goodness-of-fit logistic regressions are identified. More consistent ways of defining and analysing memory task difficulties, including SPE, can maintain the unique metrological properties of the Rasch model and improve the estimates and understanding of a person’s memory abilities on the path towards better-targeted and more fit-for-purpose diagnostics. © 2022 by the authors. 

Place, publisher, year, edition, pages
MDPI , 2022. Vol. 24, no 7, article id 934
Keywords [en]
cognition, cognitive neuroscience, entropy, information, measurement system analysis, memory, metrology, neurodegenerative diseases, person ability, Rasch, task difficulty
National Category
Neurology
Identifiers
URN: urn:nbn:se:ri:diva-59907DOI: 10.3390/e24070934Scopus ID: 2-s2.0-85133829188OAI: oai:DiVA.org:ri-59907DiVA, id: diva2:1686854
Note

 Correspondence Address: Pendrill, L.; Department of Measurement Science and Technology, AWL Sven Hultins Plats 5, vån 4, 412 58, Sweden; email: leslie.pendrill@ri.se; Funding details: Horizon 2020 Framework Programme, H2020; Funding details: European Metrology Programme for Innovation and Research, EMPIR; Funding details: VINNOVA; Funding text 1: Funding: Part of the work done in the 15HLT04 NeuroMET and 18HLT09 NeuroMET2 projects received funding from the EMPIR programme co-financed by the participating states (VINNOVA, the Swedish innovation agency in the present case) and from the European Union’s Horizon 2020 research and innovation programme.

Available from: 2022-08-11 Created: 2022-08-11 Last updated: 2023-05-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Melin, JeanettePendrill, Leslie

Search in DiVA

By author/editor
Melin, JeanettePendrill, Leslie
By organisation
Measurement Technology
In the same journal
Entropy
Neurology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf