Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review

Autores
Sneegas, Gretchen; Beckner, Sydney; Brannstrom, Christian; Jepson, Wendy; Lee, Kyungsun; Seghezzo, Lucas
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Q-methodology is a mixed qualitative-quantitative method used to measure social perspectives on issues relating to sustainability and environmental governance in a systematic, replicable manner. Although it has grown in prominence and use over the past two decades, to date there has not been a comprehensive review of the environmental sustainability Q-methodology literature. Using bibliometric analysis and systematic review, this paper examines the rapid growth in published Q-methodology research on sustainable natural resource management and environmental governance. We analysed and iteratively coded 277 empirical Q-studies published between 2000-2018 to establish research trends, shared gaps, and best practices among environmental social science Q-researchers. We also conducted co-authorship and co-citation analyses to identify research clusters using Q-methodology. We find that, while Q-methodology uses a relatively standardized protocol, considerable heterogeneity persists across such domains as study design, p-set identification, concourse and Q-set development, analysis and interpretation. Further, we identify major reporting gaps among Q-methodology publications where researchers do not fully describe or justify subjective decision-making throughout the research phases. The paper ends with recommendations for improving research reporting and increasing the circulation and uptake of up-to-date Q-methodology practices and innovations.
Fil: Sneegas, Gretchen. Texas A&M University; Estados Unidos
Fil: Beckner, Sydney. Texas A&M University; Estados Unidos
Fil: Brannstrom, Christian. Texas A&M University; Estados Unidos
Fil: Jepson, Wendy. Texas A&M University; Estados Unidos
Fil: Lee, Kyungsun. Texas A&M University; Estados Unidos
Fil: Seghezzo, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
Materia
SYSTEMATIC REVIEW
Q METHODOLOGY
ENVIRONMENTAL POLICY
SUSTAINABILITY
NATURAL RESOURCE MANAGEMENT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/171720
Acceder
id CONICETDig_c0d4ec6afed30c9e91220dc710cbc3f1
oai_identifier_str oai:ri.conicet.gov.ar:11336/171720
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic reviewSneegas, GretchenBeckner, SydneyBrannstrom, ChristianJepson, WendyLee, KyungsunSeghezzo, LucasSYSTEMATIC REVIEWQ METHODOLOGYENVIRONMENTAL POLICYSUSTAINABILITYNATURAL RESOURCE MANAGEMENThttps://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5Q-methodology is a mixed qualitative-quantitative method used to measure social perspectives on issues relating to sustainability and environmental governance in a systematic, replicable manner. Although it has grown in prominence and use over the past two decades, to date there has not been a comprehensive review of the environmental sustainability Q-methodology literature. Using bibliometric analysis and systematic review, this paper examines the rapid growth in published Q-methodology research on sustainable natural resource management and environmental governance. We analysed and iteratively coded 277 empirical Q-studies published between 2000-2018 to establish research trends, shared gaps, and best practices among environmental social science Q-researchers. We also conducted co-authorship and co-citation analyses to identify research clusters using Q-methodology. We find that, while Q-methodology uses a relatively standardized protocol, considerable heterogeneity persists across such domains as study design, p-set identification, concourse and Q-set development, analysis and interpretation. Further, we identify major reporting gaps among Q-methodology publications where researchers do not fully describe or justify subjective decision-making throughout the research phases. The paper ends with recommendations for improving research reporting and increasing the circulation and uptake of up-to-date Q-methodology practices and innovations.Fil: Sneegas, Gretchen. Texas A&M University; Estados UnidosFil: Beckner, Sydney. Texas A&M University; Estados UnidosFil: Brannstrom, Christian. Texas A&M University; Estados UnidosFil: Jepson, Wendy. Texas A&M University; Estados UnidosFil: Lee, Kyungsun. Texas A&M University; Estados UnidosFil: Seghezzo, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; ArgentinaElsevier Science2021-10-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/171720Sneegas, Gretchen; Beckner, Sydney; Brannstrom, Christian; Jepson, Wendy; Lee, Kyungsun; et al.; Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review; Elsevier Science; Ecological Economics; 180; 20-10-2021; 1-140921-8009CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolecon.2020.106864info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0921800920309654info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T12:06:20Zoai:ri.conicet.gov.ar:11336/171720instacron: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:34982025-10-29 12:06:20.74CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
title Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
spellingShingle Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
Sneegas, Gretchen
SYSTEMATIC REVIEW
Q METHODOLOGY
ENVIRONMENTAL POLICY
SUSTAINABILITY
NATURAL RESOURCE MANAGEMENT
title_short Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
title_full Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
title_fullStr Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
title_full_unstemmed Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
title_sort Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review
dc.creator.none.fl_str_mv Sneegas, Gretchen
Beckner, Sydney
Brannstrom, Christian
Jepson, Wendy
Lee, Kyungsun
Seghezzo, Lucas
author Sneegas, Gretchen
author_facet Sneegas, Gretchen
Beckner, Sydney
Brannstrom, Christian
Jepson, Wendy
Lee, Kyungsun
Seghezzo, Lucas
author_role author
author2 Beckner, Sydney
Brannstrom, Christian
Jepson, Wendy
Lee, Kyungsun
Seghezzo, Lucas
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv SYSTEMATIC REVIEW
Q METHODOLOGY
ENVIRONMENTAL POLICY
SUSTAINABILITY
NATURAL RESOURCE MANAGEMENT
topic SYSTEMATIC REVIEW
Q METHODOLOGY
ENVIRONMENTAL POLICY
SUSTAINABILITY
NATURAL RESOURCE MANAGEMENT
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.7
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Q-methodology is a mixed qualitative-quantitative method used to measure social perspectives on issues relating to sustainability and environmental governance in a systematic, replicable manner. Although it has grown in prominence and use over the past two decades, to date there has not been a comprehensive review of the environmental sustainability Q-methodology literature. Using bibliometric analysis and systematic review, this paper examines the rapid growth in published Q-methodology research on sustainable natural resource management and environmental governance. We analysed and iteratively coded 277 empirical Q-studies published between 2000-2018 to establish research trends, shared gaps, and best practices among environmental social science Q-researchers. We also conducted co-authorship and co-citation analyses to identify research clusters using Q-methodology. We find that, while Q-methodology uses a relatively standardized protocol, considerable heterogeneity persists across such domains as study design, p-set identification, concourse and Q-set development, analysis and interpretation. Further, we identify major reporting gaps among Q-methodology publications where researchers do not fully describe or justify subjective decision-making throughout the research phases. The paper ends with recommendations for improving research reporting and increasing the circulation and uptake of up-to-date Q-methodology practices and innovations.
Fil: Sneegas, Gretchen. Texas A&M University; Estados Unidos
Fil: Beckner, Sydney. Texas A&M University; Estados Unidos
Fil: Brannstrom, Christian. Texas A&M University; Estados Unidos
Fil: Jepson, Wendy. Texas A&M University; Estados Unidos
Fil: Lee, Kyungsun. Texas A&M University; Estados Unidos
Fil: Seghezzo, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
description Q-methodology is a mixed qualitative-quantitative method used to measure social perspectives on issues relating to sustainability and environmental governance in a systematic, replicable manner. Although it has grown in prominence and use over the past two decades, to date there has not been a comprehensive review of the environmental sustainability Q-methodology literature. Using bibliometric analysis and systematic review, this paper examines the rapid growth in published Q-methodology research on sustainable natural resource management and environmental governance. We analysed and iteratively coded 277 empirical Q-studies published between 2000-2018 to establish research trends, shared gaps, and best practices among environmental social science Q-researchers. We also conducted co-authorship and co-citation analyses to identify research clusters using Q-methodology. We find that, while Q-methodology uses a relatively standardized protocol, considerable heterogeneity persists across such domains as study design, p-set identification, concourse and Q-set development, analysis and interpretation. Further, we identify major reporting gaps among Q-methodology publications where researchers do not fully describe or justify subjective decision-making throughout the research phases. The paper ends with recommendations for improving research reporting and increasing the circulation and uptake of up-to-date Q-methodology practices and innovations.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-20
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/11336/171720
Sneegas, Gretchen; Beckner, Sydney; Brannstrom, Christian; Jepson, Wendy; Lee, Kyungsun; et al.; Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review; Elsevier Science; Ecological Economics; 180; 20-10-2021; 1-14
0921-8009
CONICET Digital
CONICET
url http://hdl.handle.net/11336/171720
identifier_str_mv Sneegas, Gretchen; Beckner, Sydney; Brannstrom, Christian; Jepson, Wendy; Lee, Kyungsun; et al.; Using Q-methodology in environmental sustainability research: A bibliometric analysis and systematic review; Elsevier Science; Ecological Economics; 180; 20-10-2021; 1-14
0921-8009
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolecon.2020.106864
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0921800920309654
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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
_version_ 1847426858178576384
score 13.10058

Publicaciones similares