Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 11 |
Descriptor
| Models | 30 |
| Predictive Measurement | 30 |
| Student Characteristics | 30 |
| Predictor Variables | 19 |
| Higher Education | 12 |
| Academic Achievement | 8 |
| Demography | 8 |
| College Students | 6 |
| Academic Persistence | 5 |
| College Bound Students | 5 |
| Multiple Regression Analysis | 5 |
| More ▼ | |
Source
Author
| Abedi, Jamal | 1 |
| Anderson, Barry D. | 1 |
| Bekele, Rahel | 1 |
| Benkin, Ellen | 1 |
| Borden, Victor M. H. | 1 |
| Bozick, Robert | 1 |
| Brazziel, William F. | 1 |
| Breyer, F. Jay | 1 |
| Brocato, Melissa B. | 1 |
| Burke, Gerald | 1 |
| Chang, Lin | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 23 |
| Journal Articles | 18 |
| Speeches/Meeting Papers | 7 |
| Reports - Evaluative | 3 |
| Collected Works - General | 1 |
| Information Analyses | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
| Reports - General | 1 |
Education Level
| Higher Education | 7 |
| Postsecondary Education | 6 |
| Elementary Secondary Education | 3 |
| High Schools | 3 |
| Secondary Education | 3 |
| Grade 8 | 2 |
| Grade 4 | 1 |
| Two Year Colleges | 1 |
Audience
| Practitioners | 2 |
| Researchers | 2 |
| Administrators | 1 |
Location
| Florida | 3 |
| California | 2 |
| Michigan | 2 |
| Arkansas | 1 |
| Australia | 1 |
| Colorado | 1 |
| Connecticut | 1 |
| Ethiopia | 1 |
| Georgia | 1 |
| Indiana | 1 |
| Kentucky | 1 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Qin, Lu; Phillips, Glenn Allen – International Journal of Higher Education, 2019
The 3-year graduation rate is a rarely measured metric in higher education compared to its 4- or 6- year graduation rate counterparts. For the first time in college (FTIC) students to graduate in three years, they must come with certain skills, abilities, plans, supports, or motivations. This project considers two distinct but interrelated ways of…
Descriptors: Graduation Rate, Time to Degree, College Credits, Grade Point Average
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Heilman, Michael; Breyer, F. Jay; Williams, Frank; Klieger, David; Flor, Michael – ETS Research Report Series, 2015
Graduate school recommendations are an important part of admissions in higher education, and natural language processing may be able to provide objective and consistent analyses of recommendation texts to complement readings by faculty and admissions staff. However, these sorts of high-stakes, personal recommendations are different from the…
Descriptors: Natural Language Processing, College Admission, Admission Criteria, Referral
Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
Cohen, Kristin E. – Online Submission, 2012
This study was designed to investigate the factors that affect master's student persistence in the United States. More specifically, this study explored whether the following factors: students' background, institution's, academic, environmental and psychological influences, had a significant effect on whether a master's student persisted and/or…
Descriptors: Academic Persistence, Student Attrition, Models, Performance Factors
Bekele, Rahel; McPherson, Maggie – British Journal of Educational Technology, 2011
This research work presents a Bayesian Performance Prediction Model that was created in order to determine the strength of personality traits in predicting the level of mathematics performance of high school students in Addis Ababa. It is an automated tool that can be used to collect information from students for the purpose of effective group…
Descriptors: Foreign Countries, Personality Traits, Mathematics Education, Prediction
Kitmitto, Sami – National Center for Education Statistics, 2011
The National Center for Education Statistics (NCES) continues to be interested in addressing the issue identified by the Government Accountability Office (GAO). With the release of the 2009 National Assessment of Educational Progress (NAEP) reading and mathematics assessments, NCES again had the opportunity to measure the status and change in…
Descriptors: Inclusion, Disabilities, National Competency Tests, Methods
Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
Parker, Jeffrey – Journal of Economic Education, 2010
The author investigates how ability and gender affect grades on homework projects performed by assigned pairs of students in an undergraduate macroeconomics course. The assignment grade is found to depend on the ability of both students, and the relative importance of the stronger and weaker student differs in predictable ways depending on the…
Descriptors: Homework, Economics Education, Gender Differences, Cooperative Learning
Moosai, Susan; Walker, David A.; Floyd, Deborah L. – Community College Journal of Research and Practice, 2011
Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the…
Descriptors: Community Colleges, Graduation Rate, Institutional Evaluation, Institutional Characteristics
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Peer reviewedAbedi, Jamal; Benkin, Ellen – Research in Higher Education, 1987
Data from the National Research Council's Doctorate Records File extract prepared for UCLA indicated that source of support was the most important variable in predicting time to doctorate. Following source of support were postdoctoral plans, number of dependents, sex, and field of study. (Author/MLW)
Descriptors: College Students, Demography, Doctoral Degrees, Higher Education
Peer reviewedFadem, Barbara H.; And Others – Journal of Medical Education, 1984
A discriminant analysis of objective and subjective measures from the records of students who graduated from the University of Medicine and Dentistry of New Jersey-New Jersey Medical School over a six-year period was used to generate a model for the prediction of medical specialty choice. (Author/MLW)
Descriptors: Career Choice, Discriminant Analysis, Graduates, Higher Education
Peer reviewedDembowski, Frederick L. – College and University, 1980
A model of student college choice decision was formulated and empirically tested to be used as the basis to estimate the probability of whether a student would enter a particular college. Three components of the model were students' personal characteristics, the admissions process that the students experience, and college characteristics.…
Descriptors: College Admission, College Bound Students, College Choice, Decision Making
Peer reviewedNettles, Michael T.; And Others – Journal of Higher Education, 1986
Racial differences in the effects of intellectual and nonintellectual student characteristics and faculty attitudes and behaviors that significantly predict students' college performance are examined. Significant differences between black and white students' college performance and the predictors are discovered. (Author/MLW)
Descriptors: Academic Achievement, Black Students, College Students, Comparative Analysis
Previous Page | Next Page ยป
Pages: 1 | 2
Direct link
