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Implicit causality bias in English: a corpus of 300 verbs
journal contribution
posted on 2023-06-07, 18:59 authored by Evelyn C Ferstl, Alan GarnhamAlan Garnham, Christina ManouilidouThis study provides implicit verb causality norms for a corpus of 305 English verbs. A web-based sentence completion study was conducted, with 96 respondents completing fragments such as “John liked Mary because...” The resulting bias scores are provided as supplementary material in the Psychonomic Society Archive, where we also present lexical and semantic verb features, such as the frequency, semantic class and emotional valence. Our results replicate those of previous studies with much smaller numbers of verbs and respondents. Novel effects of gender and its interaction with verb valence illustrate the type of issues that can be investigated using stable norms for a large number of verbs. The corpus will facilitate future studies in a range of areas, including psycholinguistics and social psychology
History
Publication status
- Published
Journal
Behavior Research MethodsISSN
1554-351XPublisher
Springer VerlagExternal DOI
Issue
1Volume
43Page range
124-135Pages
12.0Department affiliated with
- Psychology Publications
Full text available
- No
Peer reviewed?
- Yes