Cargando…
Implicit consequentiality bias in English: A corpus of 300+ verbs
This study provides implicit verb consequentiality norms for a corpus of 305 English verbs, for which Ferstl et al. (Behavior Research Methods, 43, 124-135, 2011) previously provided implicit causality norms. An online sentence completion study was conducted, with data analyzed from 124 respondents...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367889/ https://www.ncbi.nlm.nih.gov/pubmed/33269445 http://dx.doi.org/10.3758/s13428-020-01507-z |
_version_ | 1783739106246787072 |
---|---|
author | Garnham, Alan Vorthmann, Svenja Kaplanova, Karolina |
author_facet | Garnham, Alan Vorthmann, Svenja Kaplanova, Karolina |
author_sort | Garnham, Alan |
collection | PubMed |
description | This study provides implicit verb consequentiality norms for a corpus of 305 English verbs, for which Ferstl et al. (Behavior Research Methods, 43, 124-135, 2011) previously provided implicit causality norms. An online 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. |
format | Online Article Text |
id | pubmed-8367889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-83678892021-08-31 Implicit consequentiality bias in English: A corpus of 300+ verbs Garnham, Alan Vorthmann, Svenja Kaplanova, Karolina Behav Res Methods Article This study provides implicit verb consequentiality norms for a corpus of 305 English verbs, for which Ferstl et al. (Behavior Research Methods, 43, 124-135, 2011) previously provided implicit causality norms. An online 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. Springer US 2020-12-02 2021 /pmc/articles/PMC8367889/ /pubmed/33269445 http://dx.doi.org/10.3758/s13428-020-01507-z Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Garnham, Alan Vorthmann, Svenja Kaplanova, Karolina Implicit consequentiality bias in English: A corpus of 300+ verbs |
title | Implicit consequentiality bias in English: A corpus of 300+ verbs |
title_full | Implicit consequentiality bias in English: A corpus of 300+ verbs |
title_fullStr | Implicit consequentiality bias in English: A corpus of 300+ verbs |
title_full_unstemmed | Implicit consequentiality bias in English: A corpus of 300+ verbs |
title_short | Implicit consequentiality bias in English: A corpus of 300+ verbs |
title_sort | implicit consequentiality bias in english: a corpus of 300+ verbs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367889/ https://www.ncbi.nlm.nih.gov/pubmed/33269445 http://dx.doi.org/10.3758/s13428-020-01507-z |
work_keys_str_mv | AT garnhamalan implicitconsequentialitybiasinenglishacorpusof300verbs AT vorthmannsvenja implicitconsequentialitybiasinenglishacorpusof300verbs AT kaplanovakarolina implicitconsequentialitybiasinenglishacorpusof300verbs |