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Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines |
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| Authors: | Robert W. Lent Antonio M. Lopez Jr. Hung-Bin Sheu |
| Affiliation: | a Department of Counseling and Personnel Services, University of Maryland, 3214 Benjamin Building, College Park, MD 20742, USA b Computer Science Department, Xavier University of Louisiana, USA c Department of Educational Psychology, University of Houston, USA |
| Abstract: | 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. |
| Keywords: | Social cognitive career theory Choice model Computing students |
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