Exploring Factors that Predict STEM Persistence at a Large, Public Research University

نویسندگان

چکیده

The present study explores demographics, pre-college characteristics and multi-year (2003-2013) tracking of a census 53,077 students who initially declared STEM major upon entering research university in Texas seeks to predict graduation with non-STEM degree. Guided by QuantCrit theory, we use multilevel models determine factors that predicted persistence any STEM, as well marginal effects explore the intersection ethnicity, sex, first-generation status. Results highlight disparity exist amongst Black their White counterparts regards major. We also gap between females Asian International STEM. Implications for future practitioners suggest further attention needs be paid students.

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ژورنال

عنوان ژورنال: International journal of higher education

سال: 2021

ISSN: ['1927-6052', '1927-6044']

DOI: https://doi.org/10.5430/ijhe.v10n4p161