The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents

Traditional factor analyses used to analyze the structure of psychological strengths have yielded different solutions, not always confirming the original structure of 24 strengths corresponding to six virtues as proposed by Peterson and Seligman in their initial model. In contrast with previous fact...

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Detalles Bibliográficos
Autores: Diez, Gustavo, Roca Morales, Pablo, Nieto Romero, Inés, McGrath, Robert E., Vázquez Valverde, Carmelo José
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/98530
Acceso en línea:https://hdl.handle.net/20.500.14352/98530
Access Level:acceso abierto
Palabra clave:Network Analysis
Character strengths
VIA Inventory of Strengths
Virtues
Ciencias Sociales
3201.05 Psicología Clínica
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spelling The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondentsDiez, GustavoRoca Morales, PabloNieto Romero, InésMcGrath, Robert E.Vázquez Valverde, Carmelo JoséNetwork AnalysisCharacter strengthsVIA Inventory of StrengthsVirtuesCiencias Sociales3201.05 Psicología ClínicaTraditional factor analyses used to analyze the structure of psychological strengths have yielded different solutions, not always confirming the original structure of 24 strengths corresponding to six virtues as proposed by Peterson and Seligman in their initial model. In contrast with previous factorial approaches, this study used network analysis to explore the map of strengths, assessed with the VIA Inventory of Strengths (VIA-IS), in a large sample of individuals (N = 1,255,248) from the general population in the United States, Australia, Canada, and UK. The network analysis revealed four different communities (i.e., groups of strengths): Discernment, Interpersonal, Responsibility, and Energy. The strength most connected to other strengths was Gratitude, whereas Love of Learning was the least connected node. These results open a new way to conceptualize psychological strengths as a complex network of mutually interconnected strengths. These findings complement results from factor analyses that future research should replicate and validate.Taylor and FrancisUniversidad Complutense de Madrid20222022-08-0920222022-08-09journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/98530reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/985302026-06-02T12:44:21Z
dc.title.none.fl_str_mv The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
title The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
spellingShingle The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
Diez, Gustavo
Network Analysis
Character strengths
VIA Inventory of Strengths
Virtues
Ciencias Sociales
3201.05 Psicología Clínica
title_short The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
title_full The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
title_fullStr The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
title_full_unstemmed The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
title_sort The network structure of the VIA-120 inventory of strengths: an analysis of 1,255,248 respondents
dc.creator.none.fl_str_mv Diez, Gustavo
Roca Morales, Pablo
Nieto Romero, Inés
McGrath, Robert E.
Vázquez Valverde, Carmelo José
author Diez, Gustavo
author_facet Diez, Gustavo
Roca Morales, Pablo
Nieto Romero, Inés
McGrath, Robert E.
Vázquez Valverde, Carmelo José
author_role author
author2 Roca Morales, Pablo
Nieto Romero, Inés
McGrath, Robert E.
Vázquez Valverde, Carmelo José
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Network Analysis
Character strengths
VIA Inventory of Strengths
Virtues
Ciencias Sociales
3201.05 Psicología Clínica
topic Network Analysis
Character strengths
VIA Inventory of Strengths
Virtues
Ciencias Sociales
3201.05 Psicología Clínica
description Traditional factor analyses used to analyze the structure of psychological strengths have yielded different solutions, not always confirming the original structure of 24 strengths corresponding to six virtues as proposed by Peterson and Seligman in their initial model. In contrast with previous factorial approaches, this study used network analysis to explore the map of strengths, assessed with the VIA Inventory of Strengths (VIA-IS), in a large sample of individuals (N = 1,255,248) from the general population in the United States, Australia, Canada, and UK. The network analysis revealed four different communities (i.e., groups of strengths): Discernment, Interpersonal, Responsibility, and Energy. The strength most connected to other strengths was Gratitude, whereas Love of Learning was the least connected node. These results open a new way to conceptualize psychological strengths as a complex network of mutually interconnected strengths. These findings complement results from factor analyses that future research should replicate and validate.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-08-09
2022
2022-08-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/98530
url https://hdl.handle.net/20.500.14352/98530
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor and Francis
publisher.none.fl_str_mv Taylor and Francis
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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