Generalizability in mixed models: Lessons from corpus linguistics

Freek Van De Velde, Stefano De Pascale, Dirk Speelman

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article numbere34
JournalBehavioral and Brain Sciences
Publication statusPublished - 10 Feb 2022

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

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