The Driving Vengeance Questionnaire (DVQ): the development of a scale to measure deviant drivers' attitudes.

The Driving Vengeance Questionnaire (DVQ) was developed and administered to assess drivers' use of vengeance when faced with common driving situations. Subjects in the development of the scale were 266 male and female university students. The scale was then administered to 271 university students (both male and female) and 74 male inmates who were classified as either violent or nonviolent offenders on the basis of the amount of force used in committing the offence. A Cronbach alpha of .83 (M = 40.76, n = 310) indicated a high level of internal consistency for the DVQ. Younger drivers (18-23 years old) indicated higher levels of vengeance while driving than did older drivers (24-66 years old, M = 44.35 and 37.81, respectively). Those with less driving experience (0-6 years) expressed higher levels of vengeance while driving than more experienced drivers (6+ years, M = 42.95 and 38.81, respectively). Male drivers responded with greater vengeance to the questionnaire items than females (M = 42.07 and 39.62, respectively). The level of force used in commission of crime failed to correlate with the DVQ. A factor analysis was performed with a different sample of subjects using a slightly modified version of the DVQ to deal with the issue of whether horn honking constituted an appropriate measure of aggression. When the two relevant DVQ items were changed to read "leaning on horn" rather than mere honking, a strong, single factor of vengeance was found to characterize the scale. Suggestions were made for the use of DVQ in the screening of driving license applicants and in the study of problem drivers.

Applications of optical Boolean matrix operations to graph theory.

The transition from optical numerical matrix algebra to optical Boolean matrix algebra is explored in detail. All important Boolean matrix algebra tasks can be performed optically. Quantitative measurement is replaced by a simple light-or-no-light decision, something optics can do well. The parallelism advantage of optics becomes greater as the matrix size increases. As an illustration of utility, we consider graph theory.