Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Academic Advising | 2 |
| Correlation | 2 |
| Models | 2 |
| Multiple Regression Analysis | 2 |
| Predictive Measurement | 2 |
| Predictive Validity | 2 |
| Predictor Variables | 2 |
| Student Characteristics | 2 |
| Ability Identification | 1 |
| Academic Ability | 1 |
| Academic Accommodations… | 1 |
| More ▼ | |
Source
| AEDS Journal | 1 |
| NACADA Journal | 1 |
Author
| Johnson, James | 1 |
| Oman, Paul W. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Practitioners | 1 |
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkJohnson, 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
Peer reviewedOman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
