Students Who Used the Library in Their First Year of University are More Likely to Graduate or Still be Enrolled After Four Years
Bibliographic record
Abstract
A Review of: Soria, K. M., Fransen, J., & Nackerud, S. (2017). The impact of academic library resources on undergraduates’ degree completion. College & Research Libraries, 78(6), 812–823. https://doi.org/10.5860/crl.78.6.812 Abstract Objective – The researchers sought to measure the effect of accessing library resources on academic retention and graduation after four years while accounting for external factors that may influence academic outcomes. Design – Quasi-experimental observational study. Setting – A large public university in the Midwestern United States of America. Subjects – 5,368 first-year, non-transfer undergraduates; an entire freshman class. Methods – Using already collected student and library records data, the researchers grouped the population into those that had accessed one of five library resources at least once (treatment) and those who had not (control). The five treatment variables studied were circulation use, electronic resource or website access, library computer workstation logins, enrollment in open registration or course-embedded library instruction, and use of two reference services (online chat and peer research consultations). The researchers then performed a series of propensity score matching and regression analyses to compare the treatment and control groups’ outcome measures—graduation or continued enrollment after four years. These statistical models controlled for ten covariate measures that included SAT scores, first generation status, on campus residency, college of enrollment (e.g., business, engineering, education, biological sciences, design, or food, agriculture, and natural sciences), and demographic profiles. The regressions included subset analyses of the treatment group to determine if some treatment variables were associated with better outcomes than others. Main Results – The researchers found that students in the treatment group (n = 4,415) were 1.441 times more likely to graduate and 1.389 times more likely to still be enrolled after four years than those in the control group (n = 953). Both results were statistically significant at p < 0.01 and p < 0.001 respectively. The subset regression analyses revealed that accessing an electronic resource at least once was associated with the best graduation odds at 1.924 times (p < 0.001) and the best continued enrollment odds at 1.450 times (p < 0.001). Students who had accessed computer workstations and either of the two reference services studied were no more likely to have graduated or still been enrolled after four years than those who had not (p < 0.001 and p < 0.05). Conclusion – Accessing library services during the first year of university is associated with improved academic outcomes after four years. More research is needed to accurately measure this impact for methodological reasons. Libraries should document contact with students as much as possible for later assessment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".