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dc.contributor.authorFoltz, Peter W.
dc.contributor.authorChandler, Chelsea
dc.contributor.authorDiaz-Asper, Catherine
dc.contributor.authorCohen, Alex S.
dc.contributor.authorRodriguez, Zachary
dc.contributor.authorHolmlund, Terje Bektesevic
dc.contributor.authorElvevåg, Brita
dc.description.abstractModern advances in computational language processing methods have enabled new approaches to the measurement of mental processes. However, the field has primarily focused on model accuracy in predicting performance on a task or a diagnostic category. Instead the field should be more focused on determining which computational analyses align best with the targeted neurocognitive/psychological functions that we want to assess. In this paper we reflect on two decades of experience with the application of language-based assessment to patients' mental state and cognitive function by addressing the questions of what we are measuring, how it should be measured and why we are measuring the phenomena. We address the questions by advocating for a principled framework for aligning computational models to the constructs being assessed and the tasks being used, as well as defining how those constructs relate to patient clinical states. We further examine the assumptions that go into the computational models and the effects that model design decisions may have on the accuracy, bias and generalizability of models for assessing clinical states. Finally, we describe how this principled approach can further the goal of transitioning language-based computational assessments to part of clinical practice while gaining the trust of critical stakeholders.en_US
dc.identifier.citationFoltz PW, Chandler C, Diaz-Asper C, Cohen AS, Rodriguez Z, Holmlund TB, Elvevåg B. Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function. Schizophrenia Research. 2022en_US
dc.identifier.cristinIDFRIDAID 2110826
dc.relation.journalSchizophrenia Research
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleReflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive functionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US

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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)