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1.
Behav Res Methods ; 50(5): 1943-1952, 2018 10.
Article in English | MEDLINE | ID: mdl-28924969

ABSTRACT

The discrete emotion theory proposes that affective experiences can be reduced to a limited set of universal "basic" emotions, most commonly identified as happiness, sadness, anger, fear, and disgust. Here we present norms for 10,491 Spanish words for those five discrete emotions collected from a total of 2,010 native speakers, making it the largest set of norms for discrete emotions in any language to date. When used in conjunction with the norms from Hinojosa, Martínez-García et al. (Behavior Research Methods, 48, 272-284, 2016) and Ferré, Guasch, Martínez-García, Fraga, & Hinojosa (Behavior Research Methods, 49, 1082-1094, 2017), researchers now have access to ratings of discrete emotions for 13,633 Spanish words. Our norms show a high degree of inter-rater reliability and correlate highly with those from Ferré et al. (2017). Our exploration of the relationship between the five discrete emotions and relevant lexical and emotional variables confirmed findings of previous studies conducted with smaller datasets. The availability of such large set of norms will greatly facilitate the study of emotion, language and related fields. The norms are available as supplementary materials to this article.


Subject(s)
Emotions , Vocabulary , Adolescent , Adult , Female , Humans , Male , Middle Aged , Reference Standards , Reproducibility of Results , Sex Characteristics , Spain , Young Adult
2.
Behav Res Methods ; 49(1): 111-123, 2017 02.
Article in English | MEDLINE | ID: mdl-26850056

ABSTRACT

Most current models of research on emotion recognize valence (how pleasant a stimulus is) and arousal (the level of activation or intensity that a stimulus elicits) as important components in the classification of affective experiences (Barrett, 1998; Kuppens, Tuerlinckx, Russell, & Barrett, 2012). Here we present a set of norms for valence and arousal for a very large set of Spanish words, including items from a variety of frequencies, semantic categories, and parts of speech, including a subset of conjugated verbs. In this regard, we found that there were significant but very small differences between the ratings for conjugations of the same verb, validating the practice of applying the ratings for infinitives to all derived forms of the verb. Our norms show a high degree of reliability and are strongly correlated with those of Redondo, Fraga, Padrón, and Comesaña's (2007) Spanish version of the influential Affective Norms for English Words (Bradley & Lang, 1999), as well as those from Warriner, Kuperman, and Brysbaert (2013), the largest available set of emotional norms for English words. Additionally, we included measures of word prevalence-that is, the percentage of participants that knew a particular word-for each variable (Keuleers, Stevens, Mandera, & Brysbaert, 2015). Our large set of norms in Spanish not only will facilitate the creation of stimuli and the analysis of texts in that language, but also will be useful for cross-language comparisons and research on emotional aspects of bilingualism. The norms can be downloaded and available as a supplementary materials to this article.


Subject(s)
Arousal , Databases, Factual/standards , Emotions , Adolescent , Adult , Female , Humans , Language , Male , Middle Aged , Reproducibility of Results , Young Adult
3.
Rev. Fac. Med. UNAM ; 41(2): 60-2, mar.-abr. 1998. tab
Article in Spanish | LILACS | ID: lil-234007

ABSTRACT

Se presenta la experiencia de un año en una Unidad de Cuidados Especiales como un área de pacientes hospitalizados que, por su condición clínica, requieren atención especial y vigilancia estrecha con monitoreo no invasivo de sus constantes vitales, para evitar su evolución hacia la gravedad o su traslado a la Unidad de Terapia Intensiva, disminuyendo el riesgo de infecciones secundarias y el costo de su estancia hospitalaria. Se trata de un Modelo de atención de pacientes hospitalizados en condiciones delicadas


Subject(s)
Humans , Hospital Mortality , Hospital Units , Hospitalization , Intensive Care Units , Monitoring, Physiologic/methods , Monitoring, Physiologic , Statistics
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