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Updated: Feb 15, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Horses for courses: When acceptability judgments are more suitable than structural priming (and vice versa)
1Psychological Sciences,University of Liverpool,Liverpool,L69 7ZA,United Kingdom;ESRC International Centre for Language and Communicative Development (LuCiD).ben.ambridge@liverpool.ac.ukwww.benambridge.com.
Structural priming studies may miss crucial linguistic effects. Acceptability judgment tasks offer a more sensitive method, revealing nuances missed by priming, thus correcting prior conclusions about syntax and semantics.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Linguistics
Background:
- Structural priming is a common method in psycholinguistics to study syntactic representation.
- However, structural priming may not always capture the full picture of linguistic processing.
- This can lead to potentially inaccurate conclusions about language structure.
Purpose of the Study:
- To investigate the limitations of structural priming in linguistic research.
- To compare the sensitivity of structural priming with acceptability judgment tasks.
- To re-evaluate claims about the nature of syntactic representations.
Main Methods:
- The study contrasts findings from structural priming experiments with those from acceptability judgment tasks.
- It specifically examines the passive construction as a case study.
- This comparative approach highlights differences in detected linguistic effects.
Main Results:
- Acceptability judgment tasks detected effects missed by structural priming studies.
- This suggests that structural priming may underestimate the role of semantic information in syntax.
- Prior conclusions, such as those by Branigan & Pickering, are challenged.
Conclusions:
- Syntactic representations may indeed incorporate semantic information, contrary to some previous claims.
- Acceptability judgment tasks are a more sensitive methodology for certain linguistic questions.
- Researchers should consider using multiple methodologies for a comprehensive understanding of language.
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