A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)

Objectives: The Five Facet Mindfulness Questionnaire (FFMQ) is a popular self-report instrument for mindfulness assessment. However, several studies report mixed evidence regarding its reliability and validity. While recent replication studies have shown several issues regarding its latent structure...

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Autores: Lecuona de la Cruz, Oscar, García-Rubio, Carlos, de Rivas, Sara, Moreno Jiménez, Jennifer Elena, Meda-Lara, Rosa Marta, Rodríguez Carvajal, Raquel
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/700709
Acceso en línea:http://hdl.handle.net/10486/700709
https://dx.doi.org/10.1007/s12671-021-01704-7
Access Level:acceso abierto
Palabra clave:Mindfulness
FFMQ
Network analysis
Psychometric networks
Exploratory graph analysis
Confirmatory factor analysis
Psicología
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spelling A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)Lecuona de la Cruz, OscarGarcía-Rubio, Carlosde Rivas, SaraMoreno Jiménez, Jennifer ElenaMeda-Lara, Rosa MartaRodríguez Carvajal, RaquelMindfulnessFFMQNetwork analysisPsychometric networksExploratory graph analysisConfirmatory factor analysisPsicologíaObjectives: The Five Facet Mindfulness Questionnaire (FFMQ) is a popular self-report instrument for mindfulness assessment. However, several studies report mixed evidence regarding its reliability and validity. While recent replication studies have shown several issues regarding its latent structure, first-order facets seemed to replicate successfully. This study proposes an exploratory approach to these facets on an item level in one sample, with cross-validation in another sample. Methods: Using a snowball sampling, 1008 participants were recruited in the first sample. Psychometric networks were applied to explore relations between items and item clusters. We compared these exploratory latent variable proposals with previous literature. A second sample of 1210 participants was collected from an FFMQ validation study, and confirmatory factor analyses were applied to cross-validate findings on the first sample. Results: The FFMQ showed a positively correlated network. Exploratory analyses suggested the 5-facet structure as stable with alternatives of 4-facet (merging Observe and Non-Judging) and 6-facet (splitting Acting with Awareness in two) solutions. However, the CFAs in the second sample did not provide clear support to any solution. Conclusions: The FFMQ showed unclear evidence on its latent structure. We propose researchers and users of the FFMQ to use the most fitting solution between the 5 and 6-facet solutions in their data, since the 4-facet solution is difficult to interpret. We also propose cautionary notes and guidelines for researchers and applied users of the FFMQ and regarding this instrument. We conclude that more research is needed in mindfulness assessment to provide robust measurementsSpringerDepartamento de Psicología Biológica y de la SaludFacultad de Psicología20212021-07-27research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/700709https://dx.doi.org/10.1007/s12671-021-01704-7reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7007092026-06-23T12:46:27Z
dc.title.none.fl_str_mv A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
title A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
spellingShingle A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
Lecuona de la Cruz, Oscar
Mindfulness
FFMQ
Network analysis
Psychometric networks
Exploratory graph analysis
Confirmatory factor analysis
Psicología
title_short A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
title_full A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
title_fullStr A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
title_full_unstemmed A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
title_sort A Network Analysis of the Five Facets Mindfulness Questionnaire (FFMQ)
dc.creator.none.fl_str_mv Lecuona de la Cruz, Oscar
García-Rubio, Carlos
de Rivas, Sara
Moreno Jiménez, Jennifer Elena
Meda-Lara, Rosa Marta
Rodríguez Carvajal, Raquel
author Lecuona de la Cruz, Oscar
author_facet Lecuona de la Cruz, Oscar
García-Rubio, Carlos
de Rivas, Sara
Moreno Jiménez, Jennifer Elena
Meda-Lara, Rosa Marta
Rodríguez Carvajal, Raquel
author_role author
author2 García-Rubio, Carlos
de Rivas, Sara
Moreno Jiménez, Jennifer Elena
Meda-Lara, Rosa Marta
Rodríguez Carvajal, Raquel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Psicología Biológica y de la Salud
Facultad de Psicología
dc.subject.none.fl_str_mv Mindfulness
FFMQ
Network analysis
Psychometric networks
Exploratory graph analysis
Confirmatory factor analysis
Psicología
topic Mindfulness
FFMQ
Network analysis
Psychometric networks
Exploratory graph analysis
Confirmatory factor analysis
Psicología
description Objectives: The Five Facet Mindfulness Questionnaire (FFMQ) is a popular self-report instrument for mindfulness assessment. However, several studies report mixed evidence regarding its reliability and validity. While recent replication studies have shown several issues regarding its latent structure, first-order facets seemed to replicate successfully. This study proposes an exploratory approach to these facets on an item level in one sample, with cross-validation in another sample. Methods: Using a snowball sampling, 1008 participants were recruited in the first sample. Psychometric networks were applied to explore relations between items and item clusters. We compared these exploratory latent variable proposals with previous literature. A second sample of 1210 participants was collected from an FFMQ validation study, and confirmatory factor analyses were applied to cross-validate findings on the first sample. Results: The FFMQ showed a positively correlated network. Exploratory analyses suggested the 5-facet structure as stable with alternatives of 4-facet (merging Observe and Non-Judging) and 6-facet (splitting Acting with Awareness in two) solutions. However, the CFAs in the second sample did not provide clear support to any solution. Conclusions: The FFMQ showed unclear evidence on its latent structure. We propose researchers and users of the FFMQ to use the most fitting solution between the 5 and 6-facet solutions in their data, since the 4-facet solution is difficult to interpret. We also propose cautionary notes and guidelines for researchers and applied users of the FFMQ and regarding this instrument. We conclude that more research is needed in mindfulness assessment to provide robust measurements
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-07-27
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/700709
https://dx.doi.org/10.1007/s12671-021-01704-7
url http://hdl.handle.net/10486/700709
https://dx.doi.org/10.1007/s12671-021-01704-7
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 Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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