Literature DB >> 19062251

What does the Driving and Riding Avoidance Scale (DRAS) measure?

Joanne E Taylor1, Mark J M Sullman.   

Abstract

Driving anxiety can have a significant impact on everyday functioning and usually results in some kind of avoidance behaviour. The Driving and Riding Avoidance Scale (DRAS; Stewart, A. E., & St. Peter, C. C. (2004). Driving and riding avoidance following motor vehicle crashes in a non-clinical sample: psychometric properties of a new measure. Behaviour Research and Therapy, 42, 859-879) shows promise in the self-report assessment of the degree of such avoidance. The present study investigated the psychometric properties of the DRAS in a sample of 301 university students. Internal consistency for the DRAS was 0.89 and temporal stability over two months was 0.71. The factor structure of the DRAS supported the use of the general and traffic avoidance subscales but not the weather and riding avoidance subscales in the present non-clinical sample. However, a significant limitation of the DRAS is that it does not assess the reasons for driving avoidance, and is therefore not a measure of avoidance that is due to driving anxiety. Some items may be rated highly for practical reasons, such as avoidance because of increasing fuel and other costs associated with driving. Modified instructions for the DRAS should ensure that it measures anxiety-related avoidance behaviour.

Entities:  

Mesh:

Year:  2008        PMID: 19062251     DOI: 10.1016/j.janxdis.2008.10.006

Source DB:  PubMed          Journal:  J Anxiety Disord        ISSN: 0887-6185


  5 in total

1.  Behaviourally inhibited temperament and female sex, two vulnerability factors for anxiety disorders, facilitate conditioned avoidance (also) in humans.

Authors:  Jony Sheynin; Kevin D Beck; Kevin C H Pang; Richard J Servatius; Saima Shikari; Jacqueline Ostovich; Catherine E Myers
Journal:  Behav Processes       Date:  2014-01-09       Impact factor: 1.777

2.  The Driving Behavior Survey: scale construction and validation.

Authors:  Joshua D Clapp; Shira A Olsen; J Gayle Beck; Sarah A Palyo; DeMond M Grant; Berglind Gudmundsdottir; Luana Marques
Journal:  J Anxiety Disord       Date:  2010-08-17

3.  Testing the role of reward and punishment sensitivity in avoidance behavior: a computational modeling approach.

Authors:  Jony Sheynin; Ahmed A Moustafa; Kevin D Beck; Richard J Servatius; Catherine E Myers
Journal:  Behav Brain Res       Date:  2015-01-29       Impact factor: 3.332

Review 4.  Individual differences in response to positive and negative stimuli: endocannabinoid-based insight on approach and avoidance behaviors.

Authors:  Daniela Laricchiuta; Laura Petrosini
Journal:  Front Syst Neurosci       Date:  2014-12-22

5.  Predicting Crashes Using Traffic Offences. A Meta-Analysis that Examines Potential Bias between Self-Report and Archival Data.

Authors:  Peter Barraclough; Anders Af Wåhlberg; James Freeman; Barry Watson; Angela Watson
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

  5 in total

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