title: Implicit causality bias in English: a corpus of 300 verbs.
abstract: 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.
authors.affiliation: University of Sussex, School of Psychology, Falmer, Brighton, BN1 9QH, UK. e.c.ferstl@sussex.ac.uk
authors.forename: Evelyn C
authors.initials: EC
authors.lastname: Ferstl
authors.forename: Alan
authors.initials: A
authors.lastname: Garnham
authors.forename: Christina
authors.initials: C
authors.lastname: Manouilidou
mesh_terms: D000328:Adult; D004644:Emotions; D004739:England; D005260:Female; D006801:Humans; D020407:Internet; D007802:Language; D008297:Male; D011578:Psycholinguistics / Q000145:classification / Q000592:standards* / Q000706:statistics & numerical data*; D011597:Psychomotor Performance; D012016:Reference Values; D015203:Reproducibility of Results; D012727:Sex Characteristics