Generalizability in mixed models: Lessons from corpus linguistics. (10th February 2022)

• Record Type: Journal Article
• Authors: Van de Velde, Freek; De Pascale, Stefano; Speelman, Dirk
• Is Part Of: Behavioral and brain sciences. Volume 45(2022)
• Publication Date: 2022-02-10
• Subjects: Psychophysiology -- Periodicals; Psychology -- Periodicals; Human behavior -- Periodicals; Animal behavior -- Periodicals; Brain -- Periodicals; 616.89142
• DOI: 10.1017/S0140525X21000236
• Languages: English
• ISSNs: 0140-525X

Abstract

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.