Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 15 |
Descriptor
Source
College and University | 15 |
Author
Herreid, Charlene H. | 2 |
Miller, Thomas E. | 2 |
Sternberg, Robert J. | 2 |
Anderson, Joan L. | 1 |
Beck, Leesa | 1 |
Bonney, Christina Rhee | 1 |
Coffin, Lee | 1 |
Colburn, Michael | 1 |
Cooper, Bruce S. | 1 |
Fox, Daniel E. | 1 |
Gabora, Liane | 1 |
More ▼ |
Publication Type
Journal Articles | 15 |
Reports - Research | 7 |
Reports - Descriptive | 4 |
Reports - Evaluative | 4 |
Education Level
Higher Education | 15 |
Postsecondary Education | 5 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Secondary Education | 1 |
Two Year Colleges | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
SAT (College Admission Test) | 3 |
Beginning Postsecondary… | 1 |
Graduate Record Examinations | 1 |
What Works Clearinghouse Rating
Terry Ishitani – College and University, 2023
This study explored nontraditional community college transfer students and their bachelor's degree attainment. The study findings suggest that there was no significant difference in the odds of earning bachelor's degrees between nontraditional transfer students and their counterparts. Thus, the pathway to bachelor's degree attainment through…
Descriptors: Community College Students, Nontraditional Students, College Transfer Students, Bachelors Degrees
Sandlin, Michele – College and University, 2019
This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.
Descriptors: Predictor Variables, Success, Holistic Approach, Compliance (Legal)
Beck, Leesa; Wright, Alexis – College and University, 2019
The oldest Millennials are now well-established in their careers, requesting flex schedules so they can take their kids to soccer practice in the afternoons; they have little in common with the typical 18- to 22-year-old undergraduate in many college classrooms. For faculty at campuses serving primarily traditional students, it seems like a good…
Descriptors: Undergraduate Students, Age Groups, Student Characteristics, Cohort Analysis
Transfer Credit Evaluations: How They are Produced, Why It Matters, and How to Serve Students Better
Ott, Alexander P.; Cooper, Bruce S. – College and University, 2014
Research has found that approximately one-third of undergraduates transfer from one college to another and that transferring is becoming increasingly common. In this study, the authors focus on the transfer credit process, researching how academic credit is evaluated and when in the enrollment process students receive a degree-specific transfer…
Descriptors: Transfer Policy, College Credits, Prior Learning, Enrollment Management
Herreid, Charlene H.; Miller, Thomas E. – College and University, 2009
This article is the fourth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. In this article, the researchers describe the updated version of the prediction model. The original model was developed from a sample of about 900 First Time in College (FTIC) students…
Descriptors: Prediction, Regression (Statistics), Researchers, Intervention
Sternberg, Robert J.; Bonney, Christina Rhee; Gabora, Liane; Jarvin, Linda; Karelitz, Tzur M.; Coffin, Lee – College and University, 2010
Those who design admissions policies and procedures are the gatekeepers of higher education, and thereby play a role in shaping the direction of human society. Every year selective universities face the difficult challenge of sifting through the application materials of millions of high school graduates and deciding which applicants should be…
Descriptors: Selective Admission, Predictor Variables, College Admission, Academic Standards
Jones, Willis A. – College and University, 2009
This study examines the impact of fielding a successful college football team on institutional popularity using a dependent variable (admissions yield) and an independent variable (bowl game television rating) which have been unexamined in previous research on this topic. The findings suggest that college football success is correlated with a…
Descriptors: Higher Education, Campuses, Institutional Characteristics, Reputation
Miller, Thomas E.; Herreid, Charlene H. – College and University, 2009
This is the fifth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. The project was originally presented in the 83(2) issue (Miller 2007). The statistical model for predicting attrition was described in the 83(3) issue (Miller and Herreid 2008). The methods and…
Descriptors: Regression (Statistics), College Students, Higher Education, Student Attrition
Mattern, Krista D.; Woo, Sang Eun; Hossler, Don; Wyatt, Jeffrey – College and University, 2010
Admissions committee members often speak of "it" as an important consideration during the admissions process; however, empirical evidence documenting the efficacy of "it" as a basis for admission is scarce. The purpose of this research was to test the validity of student-institution it as a significant predictor of college success--specifically,…
Descriptors: Grade Point Average, College Admission, Admission Criteria, Predictor Variables
Colburn, Michael; Fox, Daniel E.; Westerfelt, Debra Kay – College and University, 2011
Prospective graduate students select a graduate program as a result of a multifaceted decision-making process. This study examines the selection criteria that part-time MBA students used in selecting a program at a private university. Further, it analyzes the methods by which the students first learned of the MBA program. The authors posed the…
Descriptors: Graduate Students, Course Selection (Students), Evaluation Criteria, Performance Factors
Nelson, C. Van; Leganza, Krystina K. – College and University, 2006
Gender was investigated along with other academic variables as predictors of success in entry-level freshman courses from liberal arts mathematics through calculus. The female students were more successful than the male students in all the courses, but gender became less significant as the sophistication level of the course increased. (Contains 16…
Descriptors: Predictor Variables, Mathematics Achievement, College Mathematics, College Freshmen
Sternberg, Robert J. – College and University, 2006
Is it possible simultaneously to enhance the academic quality of the student body and to increase its diversity? Assessments of creative and practical skills were given to college freshmen at thirteen varied institutions to supplement the SAT. Prediction of freshman-year GPA roughly doubled, and ethnic-group differences were substantially…
Descriptors: College Freshmen, Grade Point Average, Success, Academic Achievement
Sadler, Philip M.; Tai, Robert H. – College and University, 2007
The purpose of the current study is to investigate the feasibility of accounting for student performance in advanced high school coursework through the adjustment of high school grade point average (HSGPA) while separating out variables that are independently considered in the admission process, e.g., SAT/ACT scores, community affluence, type of…
Descriptors: Higher Education, Undergraduate Students, Advanced Placement Programs, Predictor Variables
Gayles, Jonathan – College and University, 2006
The Freshman Index, a combination of SAT score and high school grade point average, is the primary mechanism facilitating admissions decisions at Georgia State University. This article examines the relationships between these three admissions criteria and the graduating grade point averages of Asian, Black, and White six-year graduates.…
Descriptors: Graduates, Grade Point Average, College Admission, Admission Criteria
Anderson, Joan L. – College and University, 2006
Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…
Descriptors: Graduate Students, Grade Point Average, Predictor Variables, Success