Validation of the Propensity for Angry Driving Scale

Dahlen, Eric R.; Ragan, Katie M.

doi:10.1016/j.jsr.2004.09.002

Cited by 86 publications

(56 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These latter surveys focus on measurement of anger. The DDDI on the other hand measures drivers' likelihood to drive dangerously, consistent with the aggressive driving, negative cognitive/emotional driving, and risky driving subcategories mentioned.The DAX, DATQ, and the PADS have been the subject of recent empirical scrutiny (e.g., Dahlen & Ragan, 2004;Deffenbacher, White, & Lynch, 2004), where they have been found to be relatively valid and useful measures. Similarly, this work serves to elaborate on the initial reliability and validation work done on the DDDI (Dula & Ballard, 2003;Dula, 2003).…”

mentioning

confidence: 99%

The Dula Dangerous Driving Index: An investigation of reliability and validity across cultures

Willemsen¹,

Dula

Declercq

et al. 2008

Accident Analysis & Prevention

View full text Add to dashboard Cite

The aim of this study is to further establish the validity and reliability of the Dula Dangerous Driving Index (DDDI). The reliability and validity of the instrument was investigated by comparing data from a US university sample, a US community sample, and a sample of Belgian traffic offenders. Exploratory and confirmatory factor analysis supported the presence of a four-factor structure with items for Drunk Driving forming a separate scale apart from items for Risky Driving, Negative Cognitive/Emotional Driving and Aggressive Driving. A multi-group confirmatory factor analysis with model constraints supported the validity of the DDDI. Inter-correlations revealed that the DDDI subscales are closely interrelated and uni-dimensionality of the measure was found in all three samples. This suggests the DDDI Total score can be used as a composite measure for dangerous driving. However, the validity of the subscales was demonstrated in the Belgian sample, as specific traffic offender groups (convicted for drunk driving, aggressive driving, speeding) scored higher on corresponding scales (Drunk Driving, Aggressive Driving, and Risky Driving, respectively), indicating that it is clinically meaningful to differentiate the subscales.Numerous studies have documented that aggressive driving is indeed a real problem (e.g., Canada Safety Council, 2001;Joint, 1995;Lajunen & Parker, 2001;Mizell, 1997;Sarkar et al., 2000;Rathbone & Huckabee, 1999; U.S. Department of Transportation, USDOT, 1998), though how much damage is done and whether or not it is increasing is a matter of debate (e.g., James & Nahl, 2000;Martinez, 1997;Sullman et al., 2007; USDOT, 1998). However, it seems aggressive driving is a construct that remains unclear in much of the literature. The following serves to elucidate the issue and provide the rationale for the division of the breadth of coverage in the Dula Dangerous Driving Index (DDDI) and its division into distinct subscales.A critical feature of interpersonal aggression is intent to harm, either psychologically (as with insults or gestures) or physically (e.g., Baron & Richardson, 1994; Geen & O'Neil, 1976; Goldstein, 1994;Felson, 2000). When applied to a vehicular context, intention is often implied but usually not truly known. A variety of aggressive driving definitions have been posited (e.g., Connell & Joint, 1996;Joint, 1995;Ellison-Potter, Bell, & Deffenbacher, 2001;Gulian, Matthews, Glendon, & Davies, 1989;James & Nahl, 2000;Mizell, 1997;Sarkar et al., 2000;Shinar, 1998); however, a common factor is that all include behaviors and cognitive and/or emotional states that make the driving situation more dangerous. Dula and Geller (2004) highlighted problems with defining driver aggression and posited that it is more useful to construe aggression as but one facet of dangerous driving. Dangerous driving encompasses Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the...

show abstract

mentioning

confidence: 99%

The Dula Dangerous Driving Index: An investigation of reliability and validity across cultures

Willemsen¹,

Dula

Declercq

et al. 2008

Accident Analysis & Prevention

View full text Add to dashboard Cite

show abstract

“…Furthermore, the propensity to become aggressive or angry while driving and may be analyzed especially when individuals with and without this trait are compared. 3,4 Deffenbacher et al 5 …”

Section: Resultsmentioning

confidence: 99%

Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Driving Anger Scale (DAS): long form and short form

Cantini

Santos

Machado

et al. 2015

Trends Psychiatry Psychother.

View full text Add to dashboard Cite

Introduction: Driving anger has attracted the attention of researchers in recent years because it may induce individuals to drive aggressively or adopt risk behaviors. The Driving Anger Scale (DAS) was designed to evaluate the propensity of drivers to become angry or aggressive while driving. This study describes the cross-cultural adaptation of a Brazilian version of the short form and the long form of the DAS. Methods: Translation and adaptation were made in four steps: two translations and two back-translations carried out by independent evaluators; the development of a brief version by four bilingual experts in mental health and driving behaviors; a subsequent experimental application; and, finally, an investigation of operational equivalence. Results: Final Brazilian versions of the short form and of the long form of the DAS were made and are presented. Conclusions: This important instrument, which assesses driving anger and aggressive behaviors, is now available to evaluate the driving behaviors of the Brazilian population, which facilitates research in this field.

show abstract

“…And it is regarded as one of the most prevalent factors implicated in road accidents [3]. The reason is that the emotional arousal labeled as anger has a negative influence on some cognitive variables, such as attention, perception, and information procession, which influencing the driver's control of the vehicle while driving [4].…”

Section: Introductionmentioning

confidence: 99%

“…In this scale, six types of situations which were classified into "hostile gestures", "illegal driving", "police presence", "slow driving", "discourtesy", and 2 Discrete Dynamics in Nature and Society "traffic obstructions" were developed to measure driving anger. Previous studies also tried to find the relationship between driving anger and unsafe driving behavior [3,11].…”

Section: Introductionmentioning

confidence: 99%

“…Parker et al found that experienced drivers become less irritated than novice drivers [12]. Other personal characteristics such as education, work stress, sensation seeking, and personality traits contributed to the occurrence of driving anger [3,15]. Meanwhile, driving anger was also influenced by the driving environment and vehicle state.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals

Yan

Park

Qin

et al. 2018

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

Introduction. Angry driving has been a significant road safety issue worldwide. This study focuses on the problem of inducing and detecting driving anger based on the simulation and on-road experiments. Methods. First, three typical scenarios (including waiting for the red light frequently, traffic congestion, and the surrounding vehicle interference) which could cause driving anger were developed and applied in a driving simulator experimental study. The self-reported, biosignals, and brain signals of driving anger data were collected from the driving anger induction experiment. Second, in order to examine the difference of driving anger between simulation driving and real-life driving, 22 groups of on-road experiments were conducted. The typical scenes and self-reported data were recorded to distinguish normal driving from angry driving. Finally, a Hidden Naïve Bayes classifier was employed to detect angry driving during the on-road driving according to the four features (namely, BVP, SC, %, and %) from driver's biosignals and brain signals. Results. The evaluation of emotional differentiation degrees and emotional intensity indicates that the developed scenarios based on virtual reality were useful and effective in inducing driving anger. Meanwhile, the proposed angry driving detection approach achieves an accuracy of 85.0%. Conclusions and Applications. Due to possible crash and injury from the on-road experiments, the proposed approach of driving anger induction using a driving simulator is effective in exploring the causal relationship between angry driving, unsafe driving behavior, and traffic accident. In addition, angry driving detection approach can provide theoretical foundation for the development of driving anger warning products.

show abstract

Validation of the Propensity for Angry Driving Scale

Cited by 86 publications

References 16 publications

The Dula Dangerous Driving Index: An investigation of reliability and validity across cultures

The Dula Dangerous Driving Index: An investigation of reliability and validity across cultures

Translation and cross-cultural adaptation of the Brazilian Portuguese version of the Driving Anger Scale (DAS): long form and short form

The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals

Contact Info

Product

Resources

About