Psychometric properties and correlates of three computer aversion scales

Investigators have employed a variety of constructs and measures to examine individuals’ discomfort with computer use. Models and instruments for measuring constructs such as computer anxiety, computer phobia, and computer aversion have been employed to investigate negative reactions that slow individuals’ acceptance and useful application of computers. Using a large college student sample, we sought to compare the psychometric properties of three computer aversion scales and to investigate their relationships to gender, age, cognitive abilities, and experience with computer use. The results indicated good reliability, good validity coefficients, and similar factor structures for the scales. Younger students, female students, and students with lower mathematical skills and less computer experience were more likely to experience discomfort with computers. Implications include the possibility that if software and hardware alter subjects’ expectations about the difficulty of completing tasks, individual differences in computer aversion are likely to become a source of additional unexplained variance. Such differences must be heeded in software design and in the design of experimental research involving computers as stimulus controllers and response recorders.