This study examined factors that played a role in Latina/o undergraduate students' persistence in engineering at a Hispanic serving institution (HSI; N = 10) using the consensual qualitative research method (CQR; Hill, Thompson, & Williams, 1997). Data analyses resulted in five domains: institutional conditions, additive intersectional burdens, personal and cultural wealth, coping skills, and engineering identity. Participants described how they persisted in the face of stressors, citing specific coping skills they developed over time as well as general personal and cultural strengths they carried with them into their pursuit of engineering.
View Article and Find Full Text PDFThe demand for high quality engineers is of particular importance as engineering jobs are projected to grow in the next 10 years (United States Bureau of Labor Statistics, 2018). More work is needed to understand factors related to academic engagement, satisfaction, and persistence intentions of Latino/as and women in engineering: 2 underrepresented groups in the engineering pipeline. We present findings that explored the role of social-cognitive, environmental, and personality variables in engineering persistence intentions, engagement and satisfaction of a diverse sample of 1,335 engineering students using an extension of the integrative social cognitive career theory model (SCCT; Lent et al.
View Article and Find Full Text PDFThere are approximately 12 million single parent-headed families in the United States (U.S.), 80% of which are headed by single mothers (United States Census Bureau, 2017).
View Article and Find Full Text PDFThe current study tests a model of academic satisfaction in engineering based on Lent, Brown, and Hackett's (1994, 2000) social cognitive career theory among a sample of 527 engineering majors attending a Hispanic serving institution. The findings indicated that (a) an alternative bidirectional model fit the data for the full sample; (b) all of the hypothesized relations were significant for the full sample, except the path from engineering interests to goals; (c) social cognitive career theory predictors accounted for a significant amount of variance in engineering goals (26.6%) and academic satisfaction (45.
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