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BAYESIAN MODELING FOR PRO-ENVIRONMENTAL BEHAVIOR DATA: SORTING AND SELECTING RELEVANT VARIABLES

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dc.creatorJOSÉ SEBASTIÁN SANDOVAL DÍAZ
dc.date2022
dc.date.accessioned2025-01-10T15:31:48Z
dc.date.available2025-01-10T15:31:48Z
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.formatapplication/pdf
dc.identifier.doi10.1007/s00477-022-02240-z
dc.identifier.issn1436-3259
dc.identifier.issn1436-3240
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/12447
dc.languagespa
dc.publisherSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
dc.relation.uri10.1007/s00477-022-02240-z
dc.rightsPUBLICADA
dc.titleBAYESIAN MODELING FOR PRO-ENVIRONMENTAL BEHAVIOR DATA: SORTING AND SELECTING RELEVANT VARIABLES
dc.title.alternativeMODELADO BAYESIANO PARA DATOS DE COMPORTAMIENTO PRO-AMBIENTALES: CLASIFICACIÓN Y SELECCIÓN DE VARIABLES RELEVANTES
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE CIENCIAS SOCIALES
ubb.SedeCHILLÁN
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