AI Article Synopsis
- Controlled lab experiments in psychology and psycholinguistics face generalizability issues due to their artificial settings.
- Corpus linguistic methods, which analyze natural data, can help improve generalizability but may introduce skew in the lexemes and language users involved.
- The text discusses various solutions to enhance the control and reliability of findings when using corpus studies.
Article 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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| http://dx.doi.org/10.1017/S0140525X21000236 | DOI Listing |
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