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ISSN Печать: 1072-8325
ISSN Онлайн: 1940-431X
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EXPLORING GENDER AND RACIAL DIFFERENCES BY TESTING A MODEL OF ENGINEERING STUDENTS' PERSISTENCE INTENTIONS IN HOLLAND'S REALISTIC AND INVESTIGATIVE DOMAINS
Краткое описание
The current study tested a model of persistence intentions in engineering based on Lent, Brown, and Hackett [J. Vocat. Behav., vol. 45, no. 1, pp. 79–122, 1994; J. Couns. Psychol., vol. 47, no. 1, pp. 36–49, 2000] social cognitive career theory (SCCT) in Holland's (Holland, J.L., Making Vocational Choices: A Theory of Vocational Personalities and Work Environments, 3rd ed., Odessa, FL: Psychological Assessment Resources, 1997] Realistic and Investigative domains. Using a diverse sample of 515 engineering students attending a Hispanic Serving Institution in the southwest region of the U.S., the findings indicated that the proposed combined effects SCCT model, which included both direct effects and indirect effects via self-efficacy from contextual variables to persistence intentions, fit the data for the sample better than two alternate models. Significant paths were found between Realistic/Investigative self-efficacy and Realistic/Investigative interests, respectively, and between all of the contextual variables (i.e., engineering support, engineering barriers, perceived gender-related barriers, perceived race-related barriers) and engineering persistence intentions in both the Realistic and Investigative domains. For the Realistic domain, the path from perceived gender-related career barriers to self-efficacy was also significant. For the Investigative domain, the path from perceived engineering barriers to self-efficacy was significant. SCCT predictors accounted for an 18.4% and 20.5% of variance in engineering persistence intentions for Realistic and Investigative models, respectively. Finally, the model parameters did not vary across women and men nor across Latina/o and White engineering students for both the Realistic and Investigative models. Implications for research and practice are discussed in relation to persistence in engineering among women and Latina/o students.
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Flores Lisa Y., Navarro Rachel L., Lee Bo Hyun, Hu Xiaotian, Diaz David, Martinez Leticia, Social cognitive predictors of Latinx and White engineering students' academic satisfaction and persistence intentions: Exploring interactions among social identities and institutional context, Journal of Vocational Behavior, 127, 2021. Crossref