Comparing success of female students to their male counterparts in the STEM fields: an empirical analysis from enrollment until graduation using longitudinal register data
Abstract Background In this paper, we investigate the predictors for enrollment and success in Science, Technology, Engineering, and Mathematics (STEM) programs in higher education. We develop a sequential logit model in which students enroll in STEM education, may drop out from STEM higher educatio...
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Format: | Book |
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SpringerOpen,
2022-01-01T00:00:00Z.
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A1234.567 |
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