Generalizability in mixed models: Lessons from corpus linguistics

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Behavioral and Brain Sciences 45 (2022)
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Abstract

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.

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10.1017/s0140525x21000236

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