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) | 2 |
Descriptor
| Enrollment Projections | 2 |
| Models | 2 |
| Accuracy | 1 |
| College Programs | 1 |
| Comparative Analysis | 1 |
| Enrollment | 1 |
| Foreign Countries | 1 |
| Open Universities | 1 |
| Outcome Measures | 1 |
| Program Development | 1 |
| Regression (Statistics) | 1 |
| More ▼ | |
Author
| Acquah, Edward H. K. | 1 |
| Khasawneh, Mohammad | 1 |
| Srihari, Krishnaswami | 1 |
| Yoon, Sang Won | 1 |
| Zan, Xinxing Anna | 1 |
Publication Type
| Collected Works - Serial | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zan, Xinxing Anna; Yoon, Sang Won; Khasawneh, Mohammad; Srihari, Krishnaswami – Association for Institutional Research, 2013
In an effort to develop a low-cost and user-friendly forecasting model to minimize forecasting error, we have applied average and exponentially weighted return ratios to project undergraduate student enrollment. We tested the proposed forecasting models with different sets of historical enrollment data, such as university-, school-, and…
Descriptors: Comparative Analysis, Enrollment Projections, Models, Undergraduate Students
Acquah, Edward H. K. – Association for Institutional Research, 2012
The academic program life cycle (APLC) concept states each program's life flows through several stages: introduction, growth, maturity, and decline. A mixed-influence diffusion growth model is fitted to annual enrollment data on academic programs to analyze the factors determining progress of academic programs through their life cycles. The…
Descriptors: College Programs, Program Development, Models, Outcome Measures


