Implicit causality bias in English: a corpus of 300 verbs

This 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...

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Bibliographic Details
Published in:Behavior research methods 2011-03, Vol.43 (1), p.124-135
Main Authors: Ferstl, Evelyn C., Garnham, Alan, Manouilidou, Christina
Format: Article
Language:English
Subjects:
Adult
Behavioral Science and Psychology
Bias
Cognitive Psychology
Data collection
Emotions
England
Female
Gender differences
Humans
Internet
Language
Male
Psycholinguistics - classification
Psycholinguistics - standards
Psycholinguistics - statistics & numerical data
Psychology
Psychomotor Performance
Reference Values
Reproducibility of Results
Semantics
Sex Characteristics
Social psychology
Studies
Taxonomy
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Description
Summary:This 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.
ISSN:1554-3528
1554-351X
1554-3528
DOI:10.3758/s13428-010-0023-2