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Related Concept Videos

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Drag is a resistive force opposing an object’s motion through a fluid, resulting from surface pressure and shear forces. It comprises two components: a perpendicular one from pressure and a tangential one from shear stress. Accurate drag calculations use pressure and wall shear stress distributions, often determined through Computational Fluid Dynamics (CFD) or wind tunnel testing. The drag coefficient, a dimensionless measure, depends on factors like shape, Reynolds number, Mach number, Froude...
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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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What does the Driving and Riding Avoidance Scale (DRAS) measure?

Joanne E Taylor1, Mark J M Sullman

  • 1School of Psychology, Massey University, Private Bag 11-222, Palmerston North, New Zealand. J.E.Taylor@massey.ac.nz

Journal of Anxiety Disorders
|December 9, 2008
PubMed
Summary

The Driving and Riding Avoidance Scale (DRAS) shows promise for assessing avoidance behaviors. However, modifications are needed to ensure it specifically measures anxiety-related driving avoidance, not practical concerns.

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Area of Science:

  • Psychology
  • Clinical Psychology
  • Transportation Psychology

Background:

  • Driving anxiety significantly impacts daily functioning and leads to avoidance behaviors.
  • The Driving and Riding Avoidance Scale (DRAS) is a self-report measure assessing avoidance.
  • Previous research suggests the DRAS shows promise in evaluating avoidance behaviors.

Purpose of the Study:

  • To investigate the psychometric properties of the DRAS in a university student sample.
  • To assess the internal consistency and temporal stability of the DRAS.
  • To examine the factor structure of the DRAS in a non-clinical population.

Main Methods:

  • A sample of 301 university students completed the DRAS.
  • Internal consistency was calculated using Cronbach's alpha.
  • Temporal stability was assessed over a two-month period.
  • Factor analysis was used to examine the DRAS's structure.

Main Results:

  • The DRAS demonstrated good internal consistency (0.89) and temporal stability (0.71).
  • The factor structure supported general and traffic avoidance subscales.
  • Weather and riding avoidance subscales were not supported in this sample.
  • A limitation is the DRAS's inability to distinguish anxiety-driven avoidance from practical reasons.

Conclusions:

  • The DRAS is a reliable measure for general and traffic avoidance.
  • Modified instructions are recommended to ensure the DRAS measures anxiety-related driving avoidance.
  • Further research should refine the DRAS to better differentiate avoidance motivations.