A Practical and Theoretical Approach to Assessing Computer Attitudes

Publisher Website
Google Scholar
Abstract
In this study, the Computer Attitude Measure (CAM) was administered to 383 student teachers to assess three relatively distinct dimensions of computer attitudes: cognitive, affective and behavioral. The alpha coefficients for each subscale (cognitive (α = .87), affective (α = .89), behavioral (α = .94) showed a high degree of internal reliability. The principal component factor analysis supported the a priori assumption that the three subscales were independent. Finally, significant positive correlations (p < .001) of all subscales with a high degree of computer literacy and experience, and an internal locus of control, supported the external validity of the Computer Attitude Measure (CAM).