Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Correlation | 3 |
Program Descriptions | 3 |
Student Records | 3 |
Academic Persistence | 2 |
Educational Attainment | 2 |
Eligibility | 2 |
Higher Education | 2 |
Reentry Students | 2 |
Academic Degrees | 1 |
Access to Education | 1 |
African American Students | 1 |
More ▼ |
Author
Boston, Wally | 1 |
Collier, Daniel A. | 1 |
Diaz, Sebastian R. | 1 |
Gibson, Angela M. | 1 |
Ice, Phil | 1 |
McMullen, Isabel | 1 |
Richardson, Jennifer | 1 |
Swan, Karen | 1 |
Taylor, Jason L. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Michigan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Collier, Daniel A.; McMullen, Isabel – Journal of College Student Retention: Research, Theory & Practice, 2023
This exploratory, descriptive study examined trends associated with Kalamazoo Promise (KPromise) student stop out, reenrollment, and persistence to a credential upon reenrollment. For the 2006-2017 cohorts, 78% were retained from first to second year. Inferential models suggested that first-year stop out was mainly correlated to students' high…
Descriptors: Trend Analysis, Stopouts, Reentry Students, Academic Persistence
Taylor, Jason L. – Community College Journal of Research and Practice, 2016
In the past several years, reverse credit transfer programs expanded dramatically at the state and regional levels. Policymakers and institutional leaders recognize the potential of reverse credit transfer to contribute to college completion goals and increase the proportion of adults with a postsecondary credential. More importantly, reverse…
Descriptors: Transfer Policy, College Credits, College Transfer Students, Educational Policy
Boston, Wally; Diaz, Sebastian R.; Gibson, Angela M.; Ice, Phil; Richardson, Jennifer; Swan, Karen – Journal of Asynchronous Learning Networks, 2009
As the growth of online programs continues to rapidly accelerate, concern over retention is increasing. Models for understanding student persistence in the face-to-face environment are well established, however, the many of the variables in these constructs are not present in the online environment or they manifest in significantly different ways.…
Descriptors: Student Records, Predictor Variables, Correlation, Student Surveys