Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale
- Autores
- Ledesma, Ruben Daniel; Montes, Silvana Andrea; Poó, Fernando Martín; López Ramón, María F.
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Objectives: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. Methods: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson?s correlations were calculated between ARDES and validation measures. Results: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale?s internal consistency was high (Cronbach?s alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. Conclusion: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies.
Fil: Ledesma, Ruben Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina
Fil: Montes, Silvana Andrea. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Poó, Fernando Martín. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: López Ramón, María F.. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina - Materia
-
DRIVING BEHAVIOR
ATTENTION
ERROR PRONENESS
MEASUREMENT - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/242402
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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Individual Differences in Driver Inattention: The Attention-Related Driving Errors ScaleLedesma, Ruben DanielMontes, Silvana AndreaPoó, Fernando MartínLópez Ramón, María F.DRIVING BEHAVIORATTENTIONERROR PRONENESSMEASUREMENThttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5Objectives: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. Methods: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson?s correlations were calculated between ARDES and validation measures. Results: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale?s internal consistency was high (Cronbach?s alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. Conclusion: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies.Fil: Ledesma, Ruben Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; ArgentinaFil: Montes, Silvana Andrea. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Poó, Fernando Martín. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: López Ramón, María F.. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; ArgentinaTaylor & Francis2010-03info: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/11336/242402Ledesma, Ruben Daniel; Montes, Silvana Andrea; Poó, Fernando Martín; López Ramón, María F.; Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale; Taylor & Francis; Traffic Injury Prevention; 11; 2; 3-2010; 142-1501538-9588CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/15389580903497139info:eu-repo/semantics/altIdentifier/doi/10.1080/15389580903497139info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:09:27Zoai:ri.conicet.gov.ar:11336/242402instacron: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:34982025-09-29 10:09:27.69CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
title |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
spellingShingle |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale Ledesma, Ruben Daniel DRIVING BEHAVIOR ATTENTION ERROR PRONENESS MEASUREMENT |
title_short |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
title_full |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
title_fullStr |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
title_full_unstemmed |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
title_sort |
Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale |
dc.creator.none.fl_str_mv |
Ledesma, Ruben Daniel Montes, Silvana Andrea Poó, Fernando Martín López Ramón, María F. |
author |
Ledesma, Ruben Daniel |
author_facet |
Ledesma, Ruben Daniel Montes, Silvana Andrea Poó, Fernando Martín López Ramón, María F. |
author_role |
author |
author2 |
Montes, Silvana Andrea Poó, Fernando Martín López Ramón, María F. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
DRIVING BEHAVIOR ATTENTION ERROR PRONENESS MEASUREMENT |
topic |
DRIVING BEHAVIOR ATTENTION ERROR PRONENESS MEASUREMENT |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.1 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
Objectives: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. Methods: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson?s correlations were calculated between ARDES and validation measures. Results: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale?s internal consistency was high (Cronbach?s alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. Conclusion: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies. Fil: Ledesma, Ruben Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina Fil: Montes, Silvana Andrea. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina Fil: Poó, Fernando Martín. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina Fil: López Ramón, María F.. Universidad Nacional de Mar del Plata. Facultad de Psicología. Centro de Investigación en Procesos Básicos, Metodologías y Educación; Argentina |
description |
Objectives: Driver inattention is one of the most common causes of traffic collisions. The aim of this work was to study the reliability and validity of the Attention-Related Driving Errors Scale (ARDES), a novel self-report measure that assesses individual differences in driving errors resulting from failures of attention. The relationship between driver inattention and general psychological variables that could be connected to these phenomena was also explored. Methods: Participants were a convenience sample of drivers drawn from the general population of Mar del Plata, Argentina (n = 301). Drivers responded to ARDES items, a sociodemographic questionnaire, and several validation measures. The internal structure of ARDES was assessed by factor analysis and internal consistency analysis. Analysis of covariance (ANCOVA) was applied to examine differences in ARDES scores due to sociodemographic variables. Logistic regression analysis was used to determine the association between ARDES and self-reported traffic crashes and tickets. Pearson?s correlations were calculated between ARDES and validation measures. Results: Factor analysis suggested the existence of one underlying factor. The 19 items proved to have discriminative power. The scale?s internal consistency was high (Cronbach?s alpha = .86). ARDES discriminated those who had reported road crashes and traffic tickets from those who had not. Correlations with validation measures were robust and theoretically consistent. Findings suggested that driving errors are strongly associated with general error proneness, lack of attention when performing everyday activities, and dissociative personality traits. Conclusion: The present study provides preliminary evidence for the validity and reliability of the ARDES scores. Further validation studies should be conducted applying other methodologies and sources of information, such as traffic records, driving simulations, or naturalistic methodologies. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-03 |
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/11336/242402 Ledesma, Ruben Daniel; Montes, Silvana Andrea; Poó, Fernando Martín; López Ramón, María F.; Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale; Taylor & Francis; Traffic Injury Prevention; 11; 2; 3-2010; 142-150 1538-9588 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/242402 |
identifier_str_mv |
Ledesma, Ruben Daniel; Montes, Silvana Andrea; Poó, Fernando Martín; López Ramón, María F.; Individual Differences in Driver Inattention: The Attention-Related Driving Errors Scale; Taylor & Francis; Traffic Injury Prevention; 11; 2; 3-2010; 142-150 1538-9588 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/15389580903497139 info:eu-repo/semantics/altIdentifier/doi/10.1080/15389580903497139 |
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 |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |