Social cognitive predictors of the interests and choices of computing majors: Applicability to underrepresented students |
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| Authors: | Robert W Lent Frederick G Lopez Hung-Bin Sheu Antonio M Lopez Jr |
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| Institution: | aDepartment of Counseling and Personnel Services, University of Maryland, College Park, MD 20742, USA;bDepartment of Educational Psychology, University of Houston, Houston, TX, USA;cCounseling and Counseling Psychology Program, Arizona State University, Tempe, AZ, USA;dFort Worth, TX, USA |
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| Abstract: | In a replication and extension of earlier research, we examined the explanatory adequacy of the social cognitive choice model (Lent, Brown, & Hackett, 1994) in a sample of 1404 students majoring in a variety of computing disciplines at 23 historically Black and 27 predominantly White universities. Participants completed measures of self-efficacy, outcome expectations, interests, goals, and social supports and barriers relative to the pursuit of computing degrees. The social cognitive model generally provided adequate fit to the data across two academic year cohorts (2006, 2007), gender, institutional setting, racial/ethnic groups (European and African Americans), and educational level (beginning and advanced undergraduates). Outcome expectations, however, did not contribute uniquely to the predictive model. Implications for further research on social cognitive theory in the context of science and technology fields are discussed. |
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