Toward a Comprehensive Model Predicting Credit Loss in Vertical Transfer
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| Title: | Toward a Comprehensive Model Predicting Credit Loss in Vertical Transfer |
|---|---|
| Language: | English |
| Authors: | Matt S. Giani (ORCID |
| Source: | American Educational Research Journal. 2026 63(2):227-269. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 43 |
| Publication Date: | 2026 |
| Sponsoring Agency: | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH) |
| Contract Number: | P2CHD042849 T32HD007081 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education Two Year Colleges |
| Descriptors: | College Transfer Students, College Credits, Majors (Students), Student Characteristics, Institutional Characteristics, Courses, Academic Achievement, Community Colleges, Public Colleges, For Profit Colleges, Private Colleges |
| Geographic Terms: | Texas |
| DOI: | 10.3102/00028312251409063 |
| ISSN: | 0002-8312 1935-1011 |
| Abstract: | A growing body of research has documented extensive credit loss among transfer students. However, the field lacks theoretically driven and empirically supported frameworks that can guide credit loss research and reforms. We developed and tested a novel framework designed to address this gap using unique administrative credit loss data from Texas. Our results demonstrate how the likelihood of credit loss varies across course characteristics, majors, pretransfer academics, student characteristics, and sending and receiving institutions. Additionally, we disentangled general credit loss from major credit loss and examined how they vary across institutions, majors, and the combination of both. The extensive variation in credit loss among universities in particular underscores the need for future research and reform. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1499457 |
| Database: | ERIC |
| Abstract: | A growing body of research has documented extensive credit loss among transfer students. However, the field lacks theoretically driven and empirically supported frameworks that can guide credit loss research and reforms. We developed and tested a novel framework designed to address this gap using unique administrative credit loss data from Texas. Our results demonstrate how the likelihood of credit loss varies across course characteristics, majors, pretransfer academics, student characteristics, and sending and receiving institutions. Additionally, we disentangled general credit loss from major credit loss and examined how they vary across institutions, majors, and the combination of both. The extensive variation in credit loss among universities in particular underscores the need for future research and reform. |
|---|---|
| ISSN: | 0002-8312 1935-1011 |
| DOI: | 10.3102/00028312251409063 |
