Dataset_teacher_happiness.

dc.centroFacultad de Psicología y Logopediaes_ES
dc.contributor.authorMérida-López, Sergio
dc.contributor.authorQuintana-Orts, Cirenia Luz
dc.contributor.authorRey-Peña, Lourdes
dc.contributor.authorExtremera-Pacheco, Natalio
dc.coverage.spatialSur de Españaes_ES
dc.date.accessioned2024-12-10T09:19:24Z
dc.date.available2024-12-10T09:19:24Z
dc.date.created2022-02-16
dc.date.issued2024-12-10
dc.departamentoPsicología Social, Trabajo Social y Servicios Sociales y Antropología Social
dc.description.abstractEmotional intelligence (EI) is typically linked to higher subjective happiness scores in human service professionals. It is unknown which EI facets are more predictive in explaining subjective happiness beyond that accounted for by other key predictors such as perceived stress. This study investigated which EI facets were the most predictive in explaining subjective happiness above perceived stress in a relatively large sample of Spanish teachers. The sample was composed of 1323 Spanish teaching professionals (821 females and 529 secondary school teachers) from different educational centers located in Southern Spain. A student-recruited sampling technique was used, and the surveys included the Wong and Law Emotional Intelligence Scale, the Subjective Happiness Scale, and the Perceived Stress Scale. Predictive and incremental validity was assessed with SPSS, and hierarchical regression analysis was used to predict subjective happiness from EI facets beyond that accounted for by perceived stress. The results showed that all four EI facets correlated significantly with each other. Also, they all were positively and significantly associated with subjective happiness, whereas perceived stress was negatively associated with happiness scores. Moreover, self-emotion appraisal, use of emotions and regulation of emotions accounted for a significant amount of variance in the prediction of satisfaction with life beyond the effects of sociodemographic variables and perceived stress. This study extends the specific contribution of EI facets in predicting subjective happiness, rather than EI as a unified construct, in a relatively large sample of Spanish teachers. Self-focused dimensions involving appraisal, use and regulation of emotions appeared to be the most important predictors of happiness beyond stress experienced by teachers. Improved knowledge of the link between specific dimensions of EI and global subjective happiness might improve training in a well-being prevention...es_ES
dc.description.sponsorshipJunta de Andalucía (UMA18-FEDERJA-147). Ministerio de Ciencia e Innovación (PID2020-117006RB-I00). Grupo PAIDI CTS-1048 de la Junta de Andalucía. Universidad de Málaga. Ministerio de Ciencia, Innovación y Universidades (FJC2019-038942-I/AEI/10.13039/501100011033)es_ES
dc.grupoGrupo de investigación Applied Positive Lab CTS-1048
dc.identifier.doi10.24310/riuma.35530
dc.identifier.urihttps://hdl.handle.net/10630/35530
dc.language.isoenges_ES
dc.publication.year2024
dc.publisherUniversidad de Málagaes_ES
dc.relation.isreferencedbyMérida-López, S., Quintana-Orts, C., Rey, L., & Extremera, N. (2022). Teachers’ Subjective Happiness: Testing the Importance of Emotional Intelligence Facets Beyond Perceived Stress. Psychology Research and Behavior Management, 15, 317–326. https://doi.org/10.2147/PRBM.S350191es_ES
dc.relation.isreferencedbyhttps://hdl.handle.net/10630/39896
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectInteligencia emocionales_ES
dc.subjectProfesores - Salud mentales_ES
dc.subject.otherEmotional intelligence facetses_ES
dc.subject.otherPerceived stresses_ES
dc.subject.otherHappinesses_ES
dc.subject.otherTeacherses_ES
dc.titleDataset_teacher_happiness.es_ES
dc.typedatasetes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication3f129db3-95ed-4030-8ae6-593135f52c19
relation.isAuthorOfPublication767a61db-a5f7-4535-b55f-3f465eeaa774
relation.isAuthorOfPublication.latestForDiscovery3f129db3-95ed-4030-8ae6-593135f52c19

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