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Norms for the paper "Implicit Consequentiality in English: A Corpus of 300+ Verbs"

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DataCite Commons2020-11-06 更新2025-04-17 收录
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https://sussex.figshare.com/articles/dataset/Norms_for_the_paper_Implicit_Consequentiality_in_English_A_Corpus_of_300_Verbs_/12783965
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<b>Table of Norms for the paper: "Implicit Consequentiality in English: A Corpus of 300+ Verbs" </b><b>appearing in Behaviour Research Methods (2020)</b><br>Implicit consequentiality norms for 305 English interpersonal verbs. The table also contains information about length, measured valence, frequency (2 measures from the SUBTLEX-UK), and implicit causality as measured by Ferstl et al., 2011.<br>The cell values are rounded, so the values in column V (= U -T) can appear to be 1 out.<br><b>Abstract of Paper</b><b><br></b>This study provides implicit verb consequentiality norms for a corpus of 305 English verbs, for which Ferstl et al. (BRM, 2011) previously provided implicit causality norms. An on-line sentence completion study was conducted, with data analyzed from 124 respondents who completed fragments such as “John liked Mary and so…”. The resulting bias scores are presented in an Appendix, with more detail in supplementary material in the University of Sussex Research Data Repository (via 10.25377/sussex.c.5082122), where we also present lexical and semantic verb features: frequency, semantic class and emotional valence of the verbs. We compare our results with those of our study of implicit causality and with the few published studies of implicit consequentiality. As in our previous study, we also considered effects of gender and verb valence, which requires stable norms for a large number of verbs. The corpus will facilitate future studies in a range of areas, including psycholinguistics and social psychology, particularly those requiring parallel sentence completion norms for both causality and consequentiality.<br>
提供机构:
University of Sussex
创建时间:
2020-11-06
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