Evidence Summary
Students Who Used the Library in Their First Year of University are More
Likely to Graduate or Still be Enrolled After Four Years
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
Reviewed by:
Judith Logan
User Services Librarian
University of Toronto Libraries
Toronto, Ontario, Canada
Email: judith.logan@utoronto.ca
Received: 1 Aug. 2018 Accepted: 6 Sept.
2018
2018 Logan.
This is an Open Access article distributed under the terms of the Creative
Commons‐Attribution‐Noncommercial‐Share Alike License 4.0
International (http://creativecommons.org/licenses/by-nc-sa/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly attributed, not used for commercial
purposes, and, if transformed, the resulting work is redistributed under the
same or similar license to this one.
DOI: 10.18438/eblip29477
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.
Commentary
Quantifying
the library’s impact on student success has continued to grow as a field since
Oakleaf’s (2010) influential work. Soria, Fransen, and Nackerud (2013, 2014,
2017) are active contributors to this field of study with three previous
studies examining the same first-year undergraduate class. The current study
represents a departure from the methodology of these previous works in that it
uses propensity score matching in addition to regression analyses following
Chiteng Kot and Jones’ (2015) study.
For
practical reasons, the authors could only include treatment variables that had
an accessible paper trail. For example, at their institution students are
tracked when registering for information literacy sessions, but not when
attending the sessions. Therefore, it is conceivable that some of the treatment
group may belong in the control group if they did not actually attend the
session. The authors were transparent about what treatment variables entailed,
however, and have done an impressive job of gathering and processing variables
from as many trackable library activities as they could.
The
researchers accounted for factors that would influence students’ use of the
library and their academic outcome by including ten covariate variables that
attempt to create a profile of the student at the time they begin college. As
with the treatment variables, the researchers were limited to data sources
available, which may not fully capture the external factors that would cause a
student to succeed. They acknowledge this possibility in their limitations
section and cite academic motivation as a key unmeasured variable. While it is
not feasible to account for all possible covariates, their use of propensity
score matching allows them to compare the treatment and control groups using
the data available.
The
researchers used several sensitive data sources for this work that represent
serious risk to students’ privacy and confidentiality. Presumably it was
gathered with the cooperation of university administration since both the
covariate measures and the outcome measures would have originated at least in
part from the university’s registration services, but this was not made
explicit. The researchers also did not state whether they had an ethics
approval nor how they obtained consent from the population as Glynn (2006)
recommends.
Practitioners
can make use of this work as an advocacy tool. Although more research is needed
before we can confidently claim a causal relationship, this study adds to the
growing body of evidence that quantifies the benefits students reap from
library use. This study design should be replicated at other institutions as
the covariate and treatment variables available will differ. Libraries may want
to consider tracking students at more points of contact so they can participate
in studies such as these. In particular, the inclusion of in-person reference,
use of physical study spaces, and attendance at information literacy sessions
would be interesting to study.
References
Chiteng
Kot, F., & Jones, J. L. (2015). The impact of library resource utilization
on undergraduate students’ academic performance: A propensity score matching
design. College & Research Libraries, 76(5). https://doi.org/10.5860/crl.76.5.566
Glynn, L. (2006). A critical appraisal tool for library and information
research. Library Hi Tech, 24(3), 387–399. https://doi.org/10.1108/07378830610692154
Oakleaf,
M. (2010). The value of academic libraries: A comprehensive research review
and report. Chicago, IL: Association of College & Research Libraries. Retrieved
from http://www.acrl.ala.org/value/?page_id=21
Soria,
K. M., Fransen, J., & Nackerud, S. (2013). Library use and undergraduate
student outcomes: New evidence for students’ retention and academic success. portal:
Libraries & the Academy, 13(2), 147–164. https://doi.org/10.1353/pla.2013.0010
Soria,
K. M., Fransen, J., & Nackerud, S. (2014). Stacks, serials, search engines,
and students’ success: First-year undergraduate students’ library use, academic
achievement, and retention. Journal of Academic Librarianship, 40(1),
84–91. https://doi.org/10.1016/j.acalib.2013.12.002
Soria, K. M., Fransen, J., &
Nackerud, S. (2017). Beyond books: The extended academic benefits of library
use for first-year college students. College & Research Libraries, 78(1),
8–22. https://doi.org/10.5860/crl.v78i1.16564