Two set of studies were conducted to better understand grades and grading practices in physics courses, and how these might influence demographic representational disparities in physics. The first study investigates the relationships between grades and the student-level factors of standardized test scores, (binary) gender, underrepresented…

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…

Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…

Retention rates of first generation college student (FGCS) became a growing concern for leaders of educational institutions in the U.S. FGCS were several times more likely to exit college without a degree as compared to their traditional counterparts. The Model of Institutional Departure offered a general framework of college student retention.…

The present research examined the extent to which pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics were related to graduation from college. Data from admission applications, the "ACT Compass" survey, and initial enrollment measures for Fall 2004 and Fall 2005 first-time…

This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…

Tinto, Astin and countless others have researched the retention and attrition of students from college for more than thirty years. However, the six year graduation rate for all first-time full-time freshmen for the 2002 cohort was 57%. This study sought to determine the retention variables that predicted continued enrollment of entering freshmen…

The purpose of this study is to develop a preadmission predictive model of student success for prospective first-time African American college applicants at a predominately White four-year public institution within the Pennsylvania State System of Higher Education. This model will use two types of variables. They are (a) cognitive variables (i.e.,…

Examined the relationship between five independent variables (gender, race, ACT Composite Score, high school GPA, and Pell Grant status) and one dichotomous dependent variable (baccalaureate degree completion) at public colleges/universities in Mississippi. Found that high school GPA was generally the strongest predictor of degree completion,…