This study employed a multiple regression analysis to examine the relationship between academic aptitude and high school achievement factors to predict preservice mathematics teachers' college academic achievement. Specifically, an analysis of correlations and descriptive statistics was performed on predetermined academic factors of 67…

Previous research has established that SAT scores and high school grade point average (HSGPA) differ in their predictive power and in the size of mean differences across racial/ethnic groups. However, the SAT is scaled nationally across all test takers while HSGPA is scaled locally within a school. In this study, the researchers propose that this…

Some high schools are moving towards standards-based grading in an attempt to produce consistent grading practices; however, the change's impact on college readiness is not clear. The purpose of this study was to explore the effect of high school's grading practices as it relates to ACT scores and grade point averages (GPAs). Existing data were…

This study investigates the predictive validity and policy impact of Council for Accreditation of Educator Preparation minimum admission requirements in Standard 3.2 on teacher preparation programs (TPPs), their applicants, and the broader field of educator preparation. Undergraduate grade point average (GPA) and Graduate Record Examination (GRE)…

General personality was assessed of 104 graduate students in school counseling, mental health counseling, and school psychology programs in the United States using the Big Five model of personality domains. The students in three programs reported similarities and differences in their preference and performance in domain knowledge, with more…

This is a predictive validity study which aimed at examining the validity strength of College Entrance Assessment (CEA) scores, EGSLCE (Ethiopian General School Leaving Certificate Examination) and High School Average Transcript (HSAT) in predicting college students' academic success as measured by first year CGPA. For this purpose, 2015 regular…

This paper examines whether the use of student engagement (SE) information as part of the admissions process can help us to predict student academic success in Master of Accounting (MAC) programs. The association of SE, undergraduate grade point average (UGPA), and Graduate Management Admissions Test (GMAT) score to academic performance was tested…

Remedial education in postsecondary institutions has been a topic of discussion for policymakers and educators for many years. The subject where most of the remediation occurs is mathematics. A population skilled in mathematics is necessary for many of the current job openings, and many more jobs to come, as countless occupations are becoming even…

The Medical College Admission Test (MCAT) is a quantitative metric used by MD and MD-PhD programs to evaluate applicants for admission. This study assessed the validity of the MCAT in predicting training performance measures and career outcomes for MD-PhD students at a single institution. The study population consisted of 153 graduates of the…

Context: A common goal of professional education programs is to recruit the students best suited for the professional career. Selection of students can be a difficult process, especially if the number of qualified candidates exceeds the number of available positions. The ability to predict academic success in any profession has been a challenging…

The authors explore the results of the Comprehensive Business Exam (CBE) administered to business majors during their senior-year business capstone course. The study results identified students' SAT and grade point average as a predictor of CBE performance, and variables that explain the correlation between CBE performance, SAT score, and grade…

Aptitude tests should predict student success at the university level. This study examined the predictive validity of the General Aptitude Test (GAT) in Saudi Arabia. Data for 27420 students enrolled at Prince Sattam bin Abdulaziz University were analyzed. Of these students, 17565 were male students, and 9855 were female students. Multiple…

We examined the validity of 10 psychosocial factors for predicting retention status (stay, transfer, or drop out) at the start of second year of college by fitting a mixed-effects multinomial logistic regression model. Data consisted of retention records of 9,364 students from 31 four-year institutions. Predictors included commonly used variables…

We surveyed 237 first-time college students to examine the extent to which social-cognitive factors--self-efficacy, perceptions of mentorship, high school GPA, ACT scores, first-semester college GPA, and demographic characteristics-- influence freshmen's intent to persist. Standard multiple regression and MANOVA were conducted to determine the…

The purpose of this study was to explore the motivational characteristics and learning behaviors affecting at-risk college students. To explore how motivation and learning behaviors are related to academic achievement, the relationships between (a) self-efficacy; (b) learning and study strategy indicators; and (c) academic outcomes were assessed.…