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. (PsycINFO Database Record (c) 2016 APA, all rights reserved) (Source: journal abstract)
Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines
- Author Lent, Robert W.; Lopez, Antonio M., Jr.; Lopez, Frederick G.; Sheu, Hung-Bin
- Publication Title Journal Of Vocational Behavior
- Publication Year 2008
- BPC Focus Gender, Underrepresented Racial/Ethnic Groups, Black/African American Students
- Methodology Survey, Multi-institution
- Analytic Method Structural Equation Modeling (SEM), Correlation
- Institution Type Minority Serving Institutions, Historically Black Colleges and Universities/Predominantly Black Institutions
- DOI 10.1016/j.jvb.2008.01.002
- URL https://doi.org/10.1016/j.jvb.2008.01.002