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Social cognitive predictors of adjustment to engineering majors across gender and race/ethnicity

Authors :
Robert W. Lent
Kevin Williams
Robert H. Lim
Paige E. Smith
Bevlee A. Watford
Matthew J. Miller
M. Ashley Morrison
Gregory Wilkins
Kayi Hui
Source :
Journal of Vocational Behavior. 83:22-30
Publication Year :
2013
Publisher :
Elsevier BV, 2013.

Abstract

We tested a social cognitive model of academic adjustment in a sample of 1377 students enrolled in engineering schools at two predominantly White and two historically Black state universities. The model brought together central elements of social cognitive career theory's (SCCT) segmental models of educational/vocational satisfaction, interest, choice, and performance/persistence ( Lent and Brown, 2006 , Lent et al., 1994 ). The model was specifically designed to examine the interplay between interest and satisfaction in predicting students' intentions to remain in engineering majors. The integrative model offered good fit to the data both in the larger sample and in sub-samples of women, men, and racial/ethnic majority and minority students. The relation of interests to intended persistence was fully mediated by satisfaction. The findings both extend research on SCCT and suggest linkages to theories of person-environment fit. Implications for further research and practice on academic adjustment and persistence in STEM fields are considered.

Details

ISSN :
00018791
Volume :
83
Database :
OpenAIRE
Journal :
Journal of Vocational Behavior
Accession number :
edsair.doi...........345f715ca569b27c0b44ff1064b1c218
Full Text :
https://doi.org/10.1016/j.jvb.2013.02.006