The high five: Associations of the five positive factors with the big five and well-being

Autores
Cosentino, Alejandro César; Castro Solano, Alejandro
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The study of individual differences in positive characteristics has mainly focused on moral traits. The objectives of this research were to study individual differences in positive characteristics from the point of view of the layperson, including non-moral individual characteristics, and to generate a replicable model of positive factors. Three studies based on a lexical approach were conducted. The first study generated a corpus of words which resulted in a refined list of socially shared positive characteristics. The second study produced a five-factor model of positive characteristics: erudition, peace, cheerfulness, honesty, and tenacity. The third study confirmed the model with a different sample. The five-positive-factor model not only showed positive associations with emotional, psychological and social well-being, but it also accounted for the variance beyond that accounted for by the Big Five factors in predicting these well-being dimensions. In addition, the presence of convergent and divergent validity of the five positive factors is shown with relation to the Values-in-Action (VIA) classification of character strengths proposed by Peterson and Seligman (2004).
Fil: Cosentino, Alejandro César. Universidad de Palermo; Argentina
Fil: Castro Solano, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; Argentina
Materia
FACTOR ANALYSIS
FIVE FACTOR PERSONALITY MODEL
INDIVIDUAL DIFFERENCES
TEST VALIDITY
WELL-BEING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/40934
Acceder
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network_name_str CONICET Digital (CONICET)
spelling The high five: Associations of the five positive factors with the big five and well-beingCosentino, Alejandro CésarCastro Solano, AlejandroFACTOR ANALYSISFIVE FACTOR PERSONALITY MODELINDIVIDUAL DIFFERENCESTEST VALIDITYWELL-BEINGhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The study of individual differences in positive characteristics has mainly focused on moral traits. The objectives of this research were to study individual differences in positive characteristics from the point of view of the layperson, including non-moral individual characteristics, and to generate a replicable model of positive factors. Three studies based on a lexical approach were conducted. The first study generated a corpus of words which resulted in a refined list of socially shared positive characteristics. The second study produced a five-factor model of positive characteristics: erudition, peace, cheerfulness, honesty, and tenacity. The third study confirmed the model with a different sample. The five-positive-factor model not only showed positive associations with emotional, psychological and social well-being, but it also accounted for the variance beyond that accounted for by the Big Five factors in predicting these well-being dimensions. In addition, the presence of convergent and divergent validity of the five positive factors is shown with relation to the Values-in-Action (VIA) classification of character strengths proposed by Peterson and Seligman (2004).Fil: Cosentino, Alejandro César. Universidad de Palermo; ArgentinaFil: Castro Solano, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; ArgentinaFrontiers Research Foundation2017-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/40934Cosentino, Alejandro César; Castro Solano, Alejandro; The high five: Associations of the five positive factors with the big five and well-being; Frontiers Research Foundation; Frontiers in Physiology; 8; 7-2017; 1-131664-042XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fpsyg.2017.01250info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01250/fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:11:01Zoai:ri.conicet.gov.ar:11336/40934instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:11:02.03CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The high five: Associations of the five positive factors with the big five and well-being
title The high five: Associations of the five positive factors with the big five and well-being
spellingShingle The high five: Associations of the five positive factors with the big five and well-being
Cosentino, Alejandro César
FACTOR ANALYSIS
FIVE FACTOR PERSONALITY MODEL
INDIVIDUAL DIFFERENCES
TEST VALIDITY
WELL-BEING
title_short The high five: Associations of the five positive factors with the big five and well-being
title_full The high five: Associations of the five positive factors with the big five and well-being
title_fullStr The high five: Associations of the five positive factors with the big five and well-being
title_full_unstemmed The high five: Associations of the five positive factors with the big five and well-being
title_sort The high five: Associations of the five positive factors with the big five and well-being
dc.creator.none.fl_str_mv Cosentino, Alejandro César
Castro Solano, Alejandro
author Cosentino, Alejandro César
author_facet Cosentino, Alejandro César
Castro Solano, Alejandro
author_role author
author2 Castro Solano, Alejandro
author2_role author
dc.subject.none.fl_str_mv FACTOR ANALYSIS
FIVE FACTOR PERSONALITY MODEL
INDIVIDUAL DIFFERENCES
TEST VALIDITY
WELL-BEING
topic FACTOR ANALYSIS
FIVE FACTOR PERSONALITY MODEL
INDIVIDUAL DIFFERENCES
TEST VALIDITY
WELL-BEING
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The study of individual differences in positive characteristics has mainly focused on moral traits. The objectives of this research were to study individual differences in positive characteristics from the point of view of the layperson, including non-moral individual characteristics, and to generate a replicable model of positive factors. Three studies based on a lexical approach were conducted. The first study generated a corpus of words which resulted in a refined list of socially shared positive characteristics. The second study produced a five-factor model of positive characteristics: erudition, peace, cheerfulness, honesty, and tenacity. The third study confirmed the model with a different sample. The five-positive-factor model not only showed positive associations with emotional, psychological and social well-being, but it also accounted for the variance beyond that accounted for by the Big Five factors in predicting these well-being dimensions. In addition, the presence of convergent and divergent validity of the five positive factors is shown with relation to the Values-in-Action (VIA) classification of character strengths proposed by Peterson and Seligman (2004).
Fil: Cosentino, Alejandro César. Universidad de Palermo; Argentina
Fil: Castro Solano, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Psicología; Argentina
description The study of individual differences in positive characteristics has mainly focused on moral traits. The objectives of this research were to study individual differences in positive characteristics from the point of view of the layperson, including non-moral individual characteristics, and to generate a replicable model of positive factors. Three studies based on a lexical approach were conducted. The first study generated a corpus of words which resulted in a refined list of socially shared positive characteristics. The second study produced a five-factor model of positive characteristics: erudition, peace, cheerfulness, honesty, and tenacity. The third study confirmed the model with a different sample. The five-positive-factor model not only showed positive associations with emotional, psychological and social well-being, but it also accounted for the variance beyond that accounted for by the Big Five factors in predicting these well-being dimensions. In addition, the presence of convergent and divergent validity of the five positive factors is shown with relation to the Values-in-Action (VIA) classification of character strengths proposed by Peterson and Seligman (2004).
publishDate 2017
dc.date.none.fl_str_mv 2017-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/40934
Cosentino, Alejandro César; Castro Solano, Alejandro; The high five: Associations of the five positive factors with the big five and well-being; Frontiers Research Foundation; Frontiers in Physiology; 8; 7-2017; 1-13
1664-042X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/40934
identifier_str_mv Cosentino, Alejandro César; Castro Solano, Alejandro; The high five: Associations of the five positive factors with the big five and well-being; Frontiers Research Foundation; Frontiers in Physiology; 8; 7-2017; 1-13
1664-042X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fpsyg.2017.01250
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fpsyg.2017.01250/full
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Research Foundation
publisher.none.fl_str_mv Frontiers Research Foundation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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