University of Sussex, School of Psychology, Falmer, Brighton, BN1 9QH, UK.
Behav Res Methods. 2011 Mar;43(1):124-35. doi: 10.3758/s13428-010-0023-2.
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.
本研究为 305 个英语动词提供了隐性动词因果关系规范。我们进行了一项基于网络的句子完成研究，96 名受访者完成了类似“约翰喜欢玛丽是因为……”的片段。由此产生的偏差分数作为补充材料在心理科学协会档案中提供，我们还提供了词汇和语义动词特征，如频率、语义类别和情感效价。我们的结果复制了之前使用数量较少的动词和受访者进行的研究。性别及其与动词效价的相互作用的新效应说明了可以使用大量动词的稳定规范来研究的问题类型。该语料库将促进未来在心理语言学和社会心理学等一系列领域的研究。
