The Academic Library and Student Retention and Graduation: An Exploratory Study
Abstract
This study analyzed the relationships between variables of institutional expenses, library expenses, and library use and variables representing graduation and retention rates for colleges and universities. Using data drawn from the Integrated Postsecondary Educational Data System and the Academic Library Survey, institutions were compared by their Carnegie Classification of Institutions of Higher Education and by control (private or public). ANOVA (analysis of variance) results, indicating the degree of difference or similarity between the groups of data, show that the colleges and universities vary significantly in expenses per student and in use of the library per student. Correlations showed that library expenses per full-time equivalent (FTE) and instruction expenses per FTE had the highest overall relationship with graduation and retention rates.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Soria, K. M., Fransen, J., & Nackerud, S. (2013) · portal: Libraries and the Academy · doi:10.1353/pla.2013.0010 · Cited by 238 · see citing works
The Role of the Academic Library in Promoting Student Engagement in Learning
Kuh, G. D., & Gonyea, R. M. (2003) · College & Research Libraries · doi:10.5860/crl.64.4.256 · Cited by 236 · see citing works
Library Impact Data Project: Looking for the Link between Library Usage and Student Attainment
Stone, G., & Ramsden, B. (2013) · College & Research Libraries · doi:10.5860/crl12-406 · Cited by 137 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Learning Analytics and the Academic Library: Professional Ethics Commitments at a Crossroads
Jones, K., & Salo, D. (2018) · College & Research Libraries · doi:10.5860/crl.79.3.304 · Cited by 85 · see citing works
The Impact of Academic Library Resources on Undergraduates’ Degree Completion
Soria, K., & Fransen, J. (2017) · College & Research Libraries · doi:10.5860/crl.78.6.812 · Cited by 59 · see citing works
Unethical Numbers? A Meta-analysis of Library Learning Analytics Studies
Robertshaw, M. B., & Asher, A. (2019) · Library Trends · doi:10.1353/lib.2019.0031 · Cited by 32 · see citing works
The Impact of Library Instruction on Undergraduate Student Success: A Four-Year Study
Rowe, J., Leuzinger, J., Hargis, C., & Harker, K. (2021) · College & Research Libraries · doi:10.5860/crl.82.1.7 · Cited by 31 · see citing works
- Authors
- Crawford, G. A.
- Corresponding author
- Crawford, Gregory A.
- Venue
- portal: Libraries and the Academy
- Publisher
- Project MUSE
- Published
- 2015-01
- Volume
- 15
- Issue
- 1
- Pages
- 41-57
- ISSN
- 1530-7131 (ISSN-L)
- OpenAlex
- W2047699495
- Cited by
- 37
- References
- 3
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 5 · 2019: 5 · 2018: 6 · 2017: 3 · 2016: 5 · 2015: 2
- FWCI
- 43.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- portal Libraries and the Academy (publishedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- Topics
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Social Sciences › Education › Higher Education Research Studies
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- academic libraries, student retention, graduation rates, library expenditures, library use, Carnegie classification, public and private institutions, higher education funding
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