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dc.contributor.authorToyama, Hiroyuki
dc.contributor.authorMauno, Saija
dc.date.accessioned2017-06-07T10:07:14Z
dc.date.available2017-07-28T21:45:04Z
dc.date.issued2016
dc.identifier.citationToyama, H., & Mauno, S. (2016). A latent profile analysis of trait emotional intelligence to identify beneficial and risk profiles in well-being and job performance : a study among Japanese eldercare nurses. <i>International Journal of Work Organisation and Emotion</i>, <i>7</i>(4), 336-353. <a href="https://doi.org/10.1504/IJWOE.2016.081841" target="_blank">https://doi.org/10.1504/IJWOE.2016.081841</a>
dc.identifier.otherCONVID_26528319
dc.identifier.otherTUTKAID_72876
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/54344
dc.description.abstractTrait emotional intelligence (EI) is a noteworthy psychological resource in nursing. However, its effects on well-being and job performance are inconsistent. Thus, we explored the latent beneficial and risk profiles of trait EI among 461 Japanese eldercare nurses. Latent profile analysis revealed six latent profiles. In addition, multivariate analysis of covariance (MANCOVA) showed that the profile with the highest overall scores on the trait EI dimensions was associated with the most beneficial outcomes (better well-being, higher job performance). In contrast, the profiles with lower overall scores on the trait EI dimensions showed negative outcomes. Moreover, a disproportional profile, characterised by higher interpersonal EI and lower situational EI, also showed poorer outcomes. The findings indicate that trait EI is associated with subjective well-being and job performance, depending both on the overall levels of trait EI and on the dimensionality of the sub-factors within the different trait EI profiles.
dc.language.isoeng
dc.publisherInderscience Enterprises
dc.relation.ispartofseriesInternational Journal of Work Organisation and Emotion
dc.subject.othertrait emotional intelligence
dc.subject.otherlatent profile analysis
dc.subject.otherjob performance
dc.subject.otherJapan
dc.subject.otherbeneficial profiles
dc.subject.otherrisk profiles
dc.subject.othernursing
dc.subject.otherMANCOVA
dc.subject.otheraging populations
dc.subject.othercare for the elderly
dc.titleA latent profile analysis of trait emotional intelligence to identify beneficial and risk profiles in well-being and job performance : a study among Japanese eldercare nurses
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201706072717
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiainePsychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-06-07T09:15:04Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange336-353
dc.relation.issn1740-8938
dc.relation.numberinseries4
dc.relation.volume7
dc.type.versionacceptedVersion
dc.rights.copyright© 2016 Inderscience Enterprises. This is a final draft version of an article whose final and definitive form has been published by Inderscience. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosairaanhoitajat
dc.subject.ysotapaustutkimus
dc.subject.ysohyvinvointi
jyx.subject.urihttp://www.yso.fi/onto/yso/p8452
jyx.subject.urihttp://www.yso.fi/onto/yso/p10982
jyx.subject.urihttp://www.yso.fi/onto/yso/p1947
dc.relation.doi10.1504/IJWOE.2016.081841
dc.type.okmA1


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