The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exploring the Effects of Ability to Pay on Persistence in College
Abstract
This study examines the effects of economic and noneconomic variables on college persistence, building both on economic theory and Tinto’s Student Integration Model. The authors tested their predictive research design’s hypotheses by means of logistic regression models with a national sample of 1,375 college students attending public four-year institutions. Findings indicate that financial variables moderate the effect of goal commitment on persistence. They explore implications both for theory and for student financial aid policy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Dropouts from higher education: Toward an empirical model
Spady, W. G. (1971) · Interchange · doi:10.1007/bf02282469 · Cited by 768
Cited by
Hausmann, L. R. M., Schofield, J. W., & Woods, R. L. (2007) · Research in Higher Education · doi:10.1007/s11162-007-9052-9 · Cited by 954
Social Class and College Costs: Examining the Financial Nexus Between College Choice and Persistence
Paulsen, M. B., & St. John, E. P. (2002) · The Journal of Higher Education · doi:10.1353/jhe.2002.0023 · Cited by 668
The Effect of Loans on the Persistence and Attainment of Community College Students
Dowd, A. C., & Coury, T. (2006) · Research in Higher Education · doi:10.1007/s11162-005-8151-8 · Cited by 185
Hurtado, S., Eagan, M. K., Cabrera, N. L., Lin, M. H., Park, J., & Lopez, M. (2008) · Research in Higher Education · doi:10.1007/s11162-007-9068-1 · Cited by 132
Metadata
- Authors
- Cabrera, A. F., Stampen, J. O., & Hansen, W. L.
- Venue
- The Review of Higher Education
- Publisher
- Project MUSE
- Published
- 1990
- Volume
- 13
- Issue
- 3
- Pages
- 303-336
- ISSN
- 0162-5748 (ISSN-L)
- 1090-7009
- OpenAlex
- W2584119288
- Cited by
- 255
- References
- 1
- FWCI
- 38.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exploring the Effects of Ability to Pay on Persistence in College. https://app.cochat.ai/papers/10.1353/rhe.1990.0020
- The paper
- Cabrera, A. F., Stampen, J. O., & Hansen, W. L. (1990). Exploring the Effects of Ability to Pay on Persistence in College. The Review of Higher Education. https://doi.org/10.1353/rhe.1990.0020
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.