Exploration of the Factor Structure and Internal Consistency of the Aggressive Driving Behavior Questionnaire (ADBQ)

Brill, J. Christopher; Mouloua, Mustapha

doi:10.1177/1071181311551283

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…Additionally, an interaction among roadway environment and scenario traffic aggressiveness was present. Theses findings provided further support of previous studies that examined the role of ADBQ as a predictor of aggressive driving behaviors (Brill, Mouloua & Shirkey, 2007;Brill, & Mouloua, 2011;Mouloua, Brill, & Shirkey, 2009). Therefore, the results from the ADBQ scores might inform researchers as to the likelihood that an individual will engage in aggressive driving behaviors, in addition to the effect of roadway environment design on driving performance.…”

Section: Resultssupporting

confidence: 80%

The Effect of ADHD Diagnosis, Roadway Environment, and Traffic Aggressiveness on Aggressive Driving Behavior

Duany

Mouloua

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Aggressive driving behavior poses a serious risk to public safety worldwide. Aggressive driving is described as a socially dysfunctional behaviors marked by unsafe driving maneuvers that pose as a risk to driver safety. Sixty-seven drivers with previous driving experience participated in this study. Participants were required to complete a series of driving behavior questionnaires and simulated driving scenarios. Furthermore, an electrocardiogram (ECG) was used to collect heart rate variability (HRV) scores as a measure of mental workload. It was hypothesized that attention-deficit hyperactivity disorder (ADHD) diagnosis, roadway environment, and traffic aggressiveness would have an effect on driving performance and mental workload. Results indicated that roadway environment and traffic aggressiveness had a significant effect on driving performance. Results from the HRV analyses showed that ADHD participants had significantly higher HRV scores than their non-ADHD counterparts. Collectively, these findings highlight the utility of HRV measure for evaluating mental workload among ADHD drivers. Our findings have practical implications for driver assessment, roadway design, and traffic safety.

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Section: Resultssupporting

confidence: 80%

The Effect of ADHD Diagnosis, Roadway Environment, and Traffic Aggressiveness on Aggressive Driving Behavior

Duany

Mouloua

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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“…The scale comprised of twenty items which were selected from five existing driving behavior scales, including the Driver Behavior Questionnaire (DBQ; Parker, Lajunen, & Stradling, 1998), Driver Anger Expression Inventory (DAEI; Deffenbacher, Lynch, Oetting, & Swaim, 2002), the Driving Angry Thoughts Questionnaire (DATQ; Deffenbacher, Deffenbacher, Lynch, & Richards, 2003), and the Driver Anger Scale (DAS; Deffenbacher, Oetting, & Lynch, 1994). From the factor analysis, six factors were obtained: anger/aggression, absentmindedness, speeding/minor infractions, judgment of other drivers, overt expression and misc (Brill & Mouloua, 2011). The predictive validity of this questionnaire was tested in a simulated environment indicating aggressive behavioral measurements were significantly correlated with the composite score of the ADBQ (Brill, Mouloua, Shirkey, & Alberti, 2009).…”

Section: Introductionmentioning

confidence: 99%

Psychometric Examination and Validation of the Aggressive Driving Scale (ADS)

Zhang

Houston

2014

Proceedings of the Human Factors and Ergonomics Society Annual

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Aggressive driving behavior is an important cause of traffic accidents and injuries. The Aggressive Driving Scale (ADS) analyzed in the present study consists of 24 items. A sample of 276 participants was analyzed to obtain the factor structure and reliability of the ADS and 67 of them participated in the behavioral experiment to validate the scale. Results indicated a three-factor structure (Interference with other drivers, Violations/Risk taking, and Anger/Aggression expression) with high item loadings. Reliability analysis reported excellent internal consistency and test-retest reliability. Construct validity was established as the ADS subscale scores correlated significantly with trait measures of anger and aggression. Predictive validity of the ADS was verified through multiple regression analyses as the ADS is a significant predictor of behavioral measures in the simulated environment and self-report measures of real world violations. These results suggest that the ADS is a reliable and valid tool in evaluating aggressive driving behaviors.

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Psychometric examination and validation of the aggressive driving scale (ADS)

Zhang

Houston

2016

Aggressive Behavior

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Aggressive driving behavior is an important cause of traffic accidents. Based on the recent view that aggressive driving is one way that trait aggression manifests itself, a growing research area has focused on the development of scales to assess aggressive driving. The aggressive driving scale (ADS) analyzed in the present study consists of 24 items. A sample of 276 participants was analyzed to obtain the factor structure and reliability of the ADS and 67 of them participated in the behavioral experiment in order to examine the construct and predictive validity of the scale. Results indicated a 3-factor structure (interference with other drivers, violations/risk taking, and anger/aggression expression behavior) with high item loadings. The ADS had high internal consistency and test-retest reliability. Construct validity of the ADS was established as the ADS subscale scores correlated significantly with trait measures of anger and aggression. Predictive validity of the ADS was verified as most items were significantly correlated with behavioral measures derived from a driving simulator. The ADS was a significant predictor of behavioral measures both in the simulated environment (i.e., frequency of driving off the road, red light running behavior, frequency of colliding with a vehicle, frequency and distance of over speeding, frequency and distance of central crossing) and reported real world situations (i.e., annual moving violations and accidents). These results suggest that the ADS is a reliable and valid tool in evaluating aggressive driving behavior as the current study provides behavioral support for the effectiveness of the ADS in measuring aggressive driving behavior. Aggr. Behav. 42:313-323, 2016. © 2016 Wiley Periodicals, Inc.

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Exploration of the Factor Structure and Internal Consistency of the Aggressive Driving Behavior Questionnaire (ADBQ)

Cited by 5 publications

References 9 publications

The Effect of ADHD Diagnosis, Roadway Environment, and Traffic Aggressiveness on Aggressive Driving Behavior

The Effect of ADHD Diagnosis, Roadway Environment, and Traffic Aggressiveness on Aggressive Driving Behavior

Psychometric Examination and Validation of the Aggressive Driving Scale (ADS)

Psychometric examination and validation of the aggressive driving scale (ADS)

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