This quantitative exploratory study investigated factors related to the fail rate of first-year students in Introduction to General Chemistry courses (CHEM 1xx) at a mid-sized public research university. This course represents a gateway course for many scientific, medical, and healthcare majors. The sample consisted of 595 undergraduate students…

Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…

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…

There is a very large population of students who struggle with the transition from the middle grades to high school, raising concerns that high school failures are partially a function of poor middle grade preparation. As a result, middle grade practitioners are grappling with questions about what skills students need to succeed in high school,…

In order to reduce the 35-40% dropout/failure rate in chemistry classes at the Perkinston Campus of Mississippi Gulf Coast Junior College, this study sought predictors which would provide early identification of students in need of special or additional help. Using regression analysis, data accumulated from the achievement records of students over…