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Direct linkHeiny, Robert L.; Heiny, Erik L.; Raymond, Karen – Journal of College Student Retention: Research, Theory & Practice, 2017
Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…
Descriptors: College Freshmen, College Mathematics, Calculus, Student Placement
Houser, Latisha Cheree-Square; An, Shuhua – Urban Education, 2015
This study examined how gender; race/ethnicity; language; socioeconomic status; California Standards Test (CST) scores in mathematics, science, and ELA; and California High School Exit Exam mathematics predict college-ready results on the Early Assessment Program (EAP) in mathematics in urban areas of southern California. Approximately 1,700 high…
Descriptors: High School Students, Minority Group Students, College Readiness, Standardized Tests
Hughes, Thomas M.; Douzenis, Cordelia – 1985
Students enrolled in classes which stressed learning theory and human development served as subjects in an investigation of the predictive power of observation scores compared to more traditional predictors such as grade point average and ACT scores. A stepwise discriminant analysis was employed, using the BMDP7B program on the Sperry 1100 Univac,…
Descriptors: Academic Achievement, Competency Based Teacher Education, Discriminant Analysis, Evaluation Criteria
