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Yamada, Hiroyuki; Bohannon, Angel X.; Grunow, Alicia; Thorn, Christopher A. – Community College Review, 2018
Objective: Quantway is a Carnegie Math Pathways initiative, which redesigns the content, pedagogy, and structure of traditional developmental mathematics courses to simultaneously tackle traditional barriers to student success and support a broad range of developmental students in achieving their mathematics potential. Specifically, Quantway is a…
Descriptors: Hierarchical Linear Modeling, Probability, Scores, Developmental Studies Programs
Crisp, Gloria; Reyes, Nicole Alia Salis; Doran, Erin – Journal of Hispanic Higher Education, 2017
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,…
Descriptors: Predictor Variables, Mathematics Achievement, Remedial Mathematics, Hispanic American Students
Yamada, Hiroyuki; Bohannon, Angel; Grunow, Alicia – Carnegie Foundation for the Advancement of Teaching, 2016
Quantway is a Carnegie Math Pathways initiative which redesigns the content, pedagogy, and structure of traditional developmental math courses to simultaneously tackle traditional barriers of student success and support a broader range of developmental students in achieving their math potential. Specifically, Quantway is a quantitative reasoning…
Descriptors: Hierarchical Linear Modeling, Probability, Scores, Mathematics Instruction