Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines

We tested the fit of the social cognitive choice model [Lent, R.W., Brown, S.D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance [Monograph]. Journal of Vocational Behavior, 45, 79–122] to the data across gender, educational level, and type of university among students in a variety of computing disciplines. Participants were 1208 students at 21 historically Black and 21 predominantly White universities. They completed measures of self-efficacy, outcome expectations, interests, goals, and social supports and barriers with respect to computing majors. The SCCT model yielded adequate fit to the data across each of the grouping variables. Implications for future research on SCCT’s choice hypotheses in the context of science and engineering-related fields are discussed.