The Prediction of Perceived Level of Computer Knowledge: The Role of Participant Characteristics and Aversion toward Computers

As we move into a new century, the ability to predict the impact of computer attitudes on computer knowledge is still a key component to the understanding of information sciences. Survey data about computer knowledge, interest, and level of interest were collected from 478 students at three types of colleges - a four-year liberal arts college, a business college, and a community college. The participants included individuals who fell within three self-rated computer knowledge categories, novice (n = 46), average (n = 286), or expert (n =146), Stepwise discriminant function analysis was used to find the best subset of surveyed characteristics with which to discriminate among respondents with novice, average, or expert levels of computer knowledge. Two composite measures extracted from a previous analysis, reinforcement expectations for computers, and efficacy expectations for computers, and the statement, "I know how to use computer programs," were significant predictors of computer competency. Conversely, traditionally examined demographic variables such as gender and age were not significant predictors. Implications for the present findings are discussed.