New Insights on Sources of Credit Loss
Saved in:
| Title: | New Insights on Sources of Credit Loss |
|---|---|
| Language: | English |
| Authors: | Matt S. Giani (ORCID |
| Source: | Educational Researcher. 2026 55(4):281-285. |
| 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: | 5 |
| 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 |
| Descriptors: | College Transfer Students, College Credits, Majors (Students), Public Colleges |
| Geographic Terms: | Texas |
| DOI: | 10.3102/0013189X251410173 |
| ISSN: | 0013-189X 1935-102X |
| Abstract: | Many students who transfer between postsecondary institutions lose credits, which may sap academic momentum and increase college costs. Despite anecdotal evidence of major credit loss (MCL), where students cannot apply transferred credits toward their major, data limitations have hindered analyses of its magnitude or causes. Using novel administrative data in Texas, we measure MCL for a statewide sample of 2020-2022 vertical transfer students, compare it to estimates of general credit loss (GCL), and examine how it varies across student populations, majors, and universities. Our analyses show that MCL is roughly as prevalent as GCL and varies considerably across universities. Our results suggest promising directions for research and reforms that may mitigate credit loss. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1503712 |
| Database: | ERIC |
| Abstract: | Many students who transfer between postsecondary institutions lose credits, which may sap academic momentum and increase college costs. Despite anecdotal evidence of major credit loss (MCL), where students cannot apply transferred credits toward their major, data limitations have hindered analyses of its magnitude or causes. Using novel administrative data in Texas, we measure MCL for a statewide sample of 2020-2022 vertical transfer students, compare it to estimates of general credit loss (GCL), and examine how it varies across student populations, majors, and universities. Our analyses show that MCL is roughly as prevalent as GCL and varies considerably across universities. Our results suggest promising directions for research and reforms that may mitigate credit loss. |
|---|---|
| ISSN: | 0013-189X 1935-102X |
| DOI: | 10.3102/0013189X251410173 |
