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This study examines Latina/o students’ remedial math needs and outcomes. Data were drawn from a national sample of Latina/o students. Hierarchical generalized linear modeling techniques were used to predict three successful remediation outcomes. Results highlight the importance of providing financial aid and academic support to Latina/o students, especially those who have the highest remediation needs. Findings also have direct implications for policy and practice by providing a means for targeting students who are at greatest risk.
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Crisp et al. (2015) studied this question.
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