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William Parker Morgan IV – ProQuest LLC, 2020
Accurate placement into an initial college mathematics course is a key step toward the successful completion of college mathematics and, eventually, a college degree. Conversely, misplacement in mathematics may lead to a reduced likelihood of course completion and degree attainment. This study investigated the ability of two placement models to…
Descriptors: College Mathematics, College Students, Student Placement, Mathematics Achievement
Harwell, Michael; Moreno, Mario; Post, Thomas – Journal of Psychoeducational Assessment, 2016
This study examined the relationship between the American College Testing (ACT) college mathematics readiness standard and college mathematics achievement using a sample of students who met or exceeded the minimum 3 years high school mathematics coursework recommended by ACT. According to ACT, a student who scores 22 or higher on the ACT…
Descriptors: College Entrance Examinations, Mathematics Tests, College Mathematics, College Readiness
Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Phillips, Alison; Moore, Tamara J. – School Science and Mathematics, 2016
Hierarchical linear models have become a familiar method for accounting for a hierarchical data structure in studies of science and mathematics achievement. This paper illustrates the use of cross-classified random effects models (CCREMs), which are likely less familiar. The defining characteristic of CCREMs is a hierarchical data structure…
Descriptors: Mathematics Achievement, Mathematics Instruction, Hierarchical Linear Modeling, Mathematics Curriculum
Chance, Beth; Wong, Jimmy; Tintle, Nathan – Journal of Statistics Education, 2016
"Simulation-based inference" (e.g., bootstrapping and randomization tests) has been advocated recently with the goal of improving student understanding of statistical inference, as well as the statistical investigative process as a whole. Preliminary assessment data have been largely positive. This article describes the analysis of the…
Descriptors: Statistical Inference, Simulation, College Mathematics, Statistics
Mao, Yi; White, Tyreke; Sadler, Philip M.; Sonnert, Gerhard – Educational Studies in Mathematics, 2017
This study investigates how the use of calculators during high school mathematics courses is associated with student performance in introductory college calculus courses in the USA. Data were drawn from a nationally representative sample of 7087 students enrolled in college calculus at 134 colleges and universities. They included information about…
Descriptors: Calculators, Technology Uses in Education, Mathematics Achievement, Mathematics Education
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
Wade, Carol H.; Sonnert, Gerhard; Sadler, Philip M.; Hazari, Zahra – American Secondary Education, 2017
Using data from the first National study on high school preparation for college calculus success, the Factors Influencing College Success in Mathematics (FICSMath) project, this article connects student high school instructional experiences to college calculus performance. The findings reported here reveal that students were better prepared for…
Descriptors: Transitional Programs, Secondary School Mathematics, College Mathematics, Calculus
Harwell, Michael – Educational Research Quarterly, 2013
Meta-analytic methods were used to examine the moderating effect of institutional factors on the relationship between high school mathematics curricula and college mathematics course-taking and achievement from a sample of 32 colleges. The findings suggest that the impact of curriculum on college mathematics outcomes is not generally moderated by…
Descriptors: Secondary School Mathematics, High Schools, College Mathematics, Course Selection (Students)

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