Bayesian modeling for pro-environmental behavior data: sorting and selecting relevant variables

Simple item page
dc.contributor.authorReveco-Quiroz, Paula
dc.contributor.authorSandoval-Diaz, Jose
dc.contributor.authorAlvares, Danilo
dc.date.accessioned2025-01-20T21:07:22Z
dc.date.available2025-01-20T21:07:22Z
dc.date.issued2022
dc.description.abstractPro-environmental behaviors towards climate change can be measured and evaluated in different fields. Typically, surveys are the standard tool for extracting personal information regarding this phenomenon. However, statistical modeling for these surveys is not straightforward, as the response variable is often not explicit. Hence, we propose a set of methodological procedures to deal with pro-environmental behavior data. First, validity evidence through a factorial analysis. Second, indexes are created from factor scores, where one of the latent factors summarizes a target variable. Third, a Beta regression is used to model the index of interest. Fourth, the inferential process is performed from a Bayesian perspective, in which posterior probabilities are used to sort and select the relevant variables. Finally, suitable models are obtained, and conclusions can be drawn from them. As a motivation, we used data from two Chilean surveys to illustrate our methodology as well as interpret and discuss the results.
dc.description.funderNational Fund for Scientific and Technological Development (FONDECYT)
dc.fuente.origenWOS
dc.identifier.doi10.1007/s00477-022-02240-z
dc.identifier.eissn1436-3259
dc.identifier.issn1436-3240
dc.identifier.urihttps://doi.org/10.1007/s00477-022-02240-z
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93410
dc.identifier.wosidWOS:000797277300001
dc.issue.numero11
dc.language.isoen
dc.pagina.final3977
dc.pagina.inicio3961
dc.revistaStochastic environmental research and risk assessment
dc.rightsacceso restringido
dc.subjectBayesian inference
dc.subjectBeta regression
dc.subjectClimate change
dc.subjectFactor analysis
dc.subjectIndexes
dc.subjectLikert scale
dc.subject.ods02 Zero Hunger
dc.subject.ods12 Responsible Consumption and Production
dc.subject.ods15 Life on Land
dc.subject.ods04 Quality Education
dc.subject.ods14 Life Below Water
dc.subject.ods13 Climate Action
dc.subject.odspa02 Hambre cero
dc.subject.odspa12 Producción y consumo responsable
dc.subject.odspa15 Vida de ecosistemas terrestres
dc.subject.odspa04 Educación de calidad
dc.subject.odspa14 Vida submarina
dc.subject.odspa13 Acción por el clima
dc.titleBayesian modeling for pro-environmental behavior data: sorting and selecting relevant variables
dc.typeartículo
dc.volumen36
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
Files
Collections
Artículos de revistas