Moved by words: Affective ratings for a set of 2,266 Spanish words in five discrete emotion categories
| العنوان: | Moved by words: Affective ratings for a set of 2,266 Spanish words in five discrete emotion categories |
|---|---|
| المؤلفون: | Marc Guasch, Isabel Fraga, Natalia Martínez-García, Pilar Ferré, José A. Hinojosa |
| المصدر: | Behavior research methods. 49(3) |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Adult, Male, Adolescent, Databases, Factual, media_common.quotation_subject, Emotion classification, Word processing, Emotions, Poison control, Experimental and Cognitive Psychology, Anger, 050105 experimental psychology, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Arts and Humanities (miscellaneous), Developmental and Educational Psychology, Humans, 0501 psychology and cognitive sciences, Valence (psychology), General Psychology, media_common, Language, 05 social sciences, Middle Aged, Disgust, Sadness, Spain, Happiness, Female, Psychology (miscellaneous), Psychology, Social psychology, 030217 neurology & neurosurgery |
| الوصف: | The two main theoretical accounts of the human affective space are the dimensional perspective and the discrete-emotion approach. In recent years, several affective norms have been developed from a dimensional perspective, including ratings for valence and arousal. In contrast, the number of published datasets relying on the discrete-emotion approach is much lower. There is a need to fill this gap, considering that discrete emotions have an effect on word processing above and beyond those of valence and arousal. In the present study, we present ratings from 1,380 participants for a set of 2,266 Spanish words in five discrete emotion categories: happiness, anger, fear, disgust, and sadness. This will be the largest dataset published to date containing ratings for discrete emotions. We also present, for the first time, a fine-grained analysis of the distribution of words into the five emotion categories. This analysis reveals that happiness words are the most consistently related to a single, discrete emotion category. In contrast, there is a tendency for many negative words to belong to more than one discrete emotion. The only exception is disgust words, which overlap least with the other negative emotions. Normative valence and arousal data already exist for all of the words included in this corpus. Thus, the present database will allow researchers to design studies to contrast the predictions of the two most influential theoretical perspectives in this field. These studies will undoubtedly contribute to a deeper understanding of the effects of emotion on word processing. |
| تدمد: | 1554-3528 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::466961f1a2521b86754f5aa75c299751 https://pubmed.ncbi.nlm.nih.gov/27383750 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....466961f1a2521b86754f5aa75c299751 |
| قاعدة البيانات: | OpenAIRE |
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