The purpose of this quantitative correlational-predictive study was to determine if and to what extent students' Cognitive Ability, first-term GPA, and ethnicity predict student graduation status from a CTE college in Texas. Student retention rates continue to be a cause for great concern for higher learning, even more so for CTE institutions.…

Objective: The impact of cannabis use disorder (CUD) on education functioning and GPA was examined within the context of co-occurring alcohol use disorder (AUD), major depressive disorder (MDD), and post-traumatic stress disorder (PTSD). Participants: Undergraduates (N = 210) who reported using cannabis within the past six months were recruited.…

Delays in meeting math requirements can impede the progress among community college students who aspire to earn a baccalaureate degree. To investigate this issue, we used state administrative data from Texas to examine the prevalence and predictors of math course repetition and how math course repetition predicts transfer students' outcomes. More…

An understanding of student learning strategies is an important component of supporting academic success and avoiding difficulty. Prior inquiry has demonstrated certain learning strategies are more closely related to academic performance than others. The purpose of this study was to describe predictive relationships between the Metacognitive…

Organic Chemistry I presents challenges to many students pursuing diverse fields of study, oftentimes curtailing further progress in those fields. The ability to identify students at risk of unsuccessful course outcomes may lead to improved success rates by offering tailored resources to those students. Previously identified predictors include…

Enrollment in dual credit classes has increased over the last 10 years benefiting K-20 education and high school students in providing an opportunity to obtain college credits and increasing postsecondary education enrollment. The purpose of this study was to investigate the predictors of achievement through the lens of Social Cognitive Theory by…

There is interest in admission criteria that predict future success in biomedical graduate school programs, but identifying predictors of PhD attainment is inherently complex. In particular, high noncompletion rates of PhD programs have long been recognized as a major crisis. Here, we present a quantitative analysis of the PhD students enrolled in…

This paper reports the results of a four-state collaboration--Illinois, New York, Texas, and Virginia--that uses Student Unit Record Database Systems that track students from high school into college. The goal is to determine whether it is possible to accurately predict whether individual students will not graduate using very early indicators…

Community colleges experience difficulties in effectively placing students in the first college-level, gateway mathematics course. The use of one standardized exam, such as the Texas Success Initiative Assessment (TSIA) has been proven ineffective. The effectiveness of using multiple measures is not known. This quantitative predictive…

The purpose of this study was to analyze and determine the predictive power of individual and a combination of different indicators that are used to determine college readiness. For this study a logistic regression analysis was conducted due to the dichotomous nature of the dependent variable. The dependent variable for the study was the earning…

Student loan debt and institutional student loan cohort default rates (CDR) have been one of the main topics of interest in colleges and universities in the most recent years and the impact of CDR's have played a major role in the strategic planning efforts by higher education administrators. The costs for tuition, fees, room and board for…

The purpose of this sequential mixed methods study was to examine the relationship among student achievement factors, gifted and talented status and post-secondary readiness. The study included a review of archived data obtained from a large district in the southeastern region of Texas consisting of a purposeful sample of AP students' who took an…

In this study, we identified factors influencing completion rates (graduation) of undergraduate students in science, technology, engineering, and mathematics (STEM). We used hierarchical, logistic, and linear regression models to analyze the data and found significant predictor variable interactions across various underrepresented versus…

With a steady increase of virtual learning courses taught throughout K-12 education, limited empirical research exists to allow educational leaders and policy makers the ability to accurately identify student demographic characteristics that correlate to the acquisition of virtual course credit (Barbour, 2009). The purpose of this quantitative…

Elementary school teachers' math anxiety has been found to play a role in their students' math achievement. The current study addresses the role of teacher math anxiety on ninth-grade students' math achievement and the mediating factors underlying this relationship. Using data from the National Mindset Study, we find that higher teacher math…