Generalizability in mixed models: Lessons from corpus linguistics

Freek Van De Velde, Stefano De Pascale, Dirk Speelman

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Samenvatting

Part of the generalizability issues that haunt controlled lab experiment designs in psychology, and more particularly in psycholinguistics, can be alleviated by adopting corpus linguistic methods. These work with natural data. This advantage comes at a cost: in corpus studies, lexemes and language users can show different kinds of skew. We discuss a number of solutions to bolster the control.

Originele taal-2English
Artikelnummere34
Aantal pagina's14
TijdschriftBehavioral and Brain Sciences
Volume45
DOI's
StatusPublished - 10 feb 2022

Bibliografische nota

Publisher Copyright:
© The Author(s), 2022. Published by Cambridge University Press.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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