Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions

This Data in Brief (DiB) article examines the association between theJob Demand-Control (JDC) model of stress and trafficsafetyoutcomes(accidents and sanctions) in public transport drivers (n¼780). Thedata was collected using a structured self-administrable ques-tionnaire composed of measurements of...

Full description

Autores:
Gómez, Viviola
Useche, Sergio
Montoro, Luis
Cendales, Boris
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/1594
Acceso en línea:
http://hdl.handle.net/20.500.12495/1594
https://doi.org/10.1016/j.dib.2018.05.036
Palabra clave:
Estrés laboral
Estudios de evaluación
Rendimiento laboral
Work stress
Public transport drivers
Professional driving
Job strain
Rights
License
Attribution 4.0 International
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oai_identifier_str oai:repositorio.unbosque.edu.co:20.500.12495/1594
network_acronym_str UNBOSQUE2
network_name_str Repositorio U. El Bosque
repository_id_str
dc.title.spa.fl_str_mv Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
title Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
spellingShingle Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
Estrés laboral
Estudios de evaluación
Rendimiento laboral
Work stress
Public transport drivers
Professional driving
Job strain
title_short Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
title_full Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
title_fullStr Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
title_full_unstemmed Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
title_sort Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions
dc.creator.fl_str_mv Gómez, Viviola
Useche, Sergio
Montoro, Luis
Cendales, Boris
dc.contributor.author.none.fl_str_mv Gómez, Viviola
Useche, Sergio
Montoro, Luis
Cendales, Boris
dc.subject.decs.spa.fl_str_mv Estrés laboral
Estudios de evaluación
Rendimiento laboral
topic Estrés laboral
Estudios de evaluación
Rendimiento laboral
Work stress
Public transport drivers
Professional driving
Job strain
dc.subject.keywords.spa.fl_str_mv Work stress
Public transport drivers
Professional driving
Job strain
description This Data in Brief (DiB) article examines the association between theJob Demand-Control (JDC) model of stress and trafficsafetyoutcomes(accidents and sanctions) in public transport drivers (n¼780). Thedata was collected using a structured self-administrable ques-tionnaire composed of measurements of work stress (Job ContentQuestionnaire), and demographics (professional driving experience,hours and days working/driving per week). The data contains 4 parts:descriptive statistics, bivariate correlations between the study vari-ables, analysis of variance (ANOVA) and Post-Hoc comparisonsbetween drivers classified different quadrants of the JDC model. Forfurther information, it is convenient to read the full article entitled“Working conditions, job strain and traffic safety among three groups ofpublic transport drivers”, published in Safety and Health at Work(SHAW)[1](Useche et al., 2018).
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-08-05T16:09:03Z
dc.date.available.none.fl_str_mv 2019-08-05T16:09:03Z
dc.type.spa.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.local.spa.fl_str_mv artículo
dc.identifier.issn.none.fl_str_mv 2352-3409
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12495/1594
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.dib.2018.05.036
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.unbosque.edu.co
identifier_str_mv 2352-3409
instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
repourl:https://repositorio.unbosque.edu.co
url http://hdl.handle.net/20.500.12495/1594
https://doi.org/10.1016/j.dib.2018.05.036
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.spa.fl_str_mv Data in Brief, 2352-3409, Vol. 19, 2018, p.293-298
dc.relation.uri.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S2352340918305420?via%3Dihub
dc.rights.*.fl_str_mv Attribution 4.0 International
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.local.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv http://purl.org/coar/access_right/c_abf420
dc.rights.creativecommons.none.fl_str_mv 2018
rights_invalid_str_mv Attribution 4.0 International
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Acceso abierto
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2018
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dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
dc.publisher.journal.spa.fl_str_mv Data in Brief
institution Universidad El Bosque
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spelling Gómez, ViviolaUseche, SergioMontoro, LuisCendales, Boris2019-08-05T16:09:03Z2019-08-05T16:09:03Z20182352-3409http://hdl.handle.net/20.500.12495/1594https://doi.org/10.1016/j.dib.2018.05.036instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengElsevierData in BriefData in Brief, 2352-3409, Vol. 19, 2018, p.293-298https://www.sciencedirect.com/science/article/pii/S2352340918305420?via%3DihubAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Acceso abiertohttp://purl.org/coar/access_right/c_abf4202018http://purl.org/coar/access_right/c_abf2Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctionsarticleartículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Estrés laboralEstudios de evaluaciónRendimiento laboralWork stressPublic transport driversProfessional drivingJob strainThis Data in Brief (DiB) article examines the association between theJob Demand-Control (JDC) model of stress and trafficsafetyoutcomes(accidents and sanctions) in public transport drivers (n¼780). Thedata was collected using a structured self-administrable ques-tionnaire composed of measurements of work stress (Job ContentQuestionnaire), and demographics (professional driving experience,hours and days working/driving per week). The data contains 4 parts:descriptive statistics, bivariate correlations between the study vari-ables, analysis of variance (ANOVA) and Post-Hoc comparisonsbetween drivers classified different quadrants of the JDC model. 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