3. “A dreamer is one who can only find his
way by moonlight, and his punishment is
that he sees the dawn before the rest of the
world.”
Oscar Wilde
4. Challenges Facing Higher Education
Decreasing state funding
Increasing expectation for
universal access
Pressures to keep costs
contained and tuition low
Increased need for remediation
Idealized social experience
Credentialing agent for career
advancement
Dissatisfaction with student
learning outcomes
Accreditation is a constantly
moving target
5. The Financial Crunch
State Funding + (Tuition X Enrolled Students) + Grants/External Funding
Nationally, State funding has dropped
from $88.8 billion in 2007 to $78.8
billion in 2013.
Getting students enrolled, and keeping
them enrolled becomes a high-stakes
endeavor
Percentage of educational revenue
derived from tuition has climbed from
23.8% to nearly 50% nationally.
State Higher Education Executive Officers
Association
6. Enrollment & Retention
Declining populations of traditional college students
• Competition for traditional college students
• Facilities and services which serve to increase tuition
• Increased focus on non-traditional students with an impact on the
curriculum
• Increased numbers of enrolled students who are not college ready
Cost of recruiting students is higher than the cost of retaining students
7. Performance-based Funding
39 states are involved with
performance-based funding (as of
September, 2013)
Typical metrics include
• Degrees awarded
• Graduation rates
• Transfer rates
• Time and credits to degree
Retention becomes a critical funding
consideration at 2 levels
• Lost tuition & auxiliaries revenue
• Impact on institutional state
appropriations
8. Why does this matter to academic libraries?
How could you justify keeping vacant faculty or staff lines in the library
instead of being repurposed in a more obviously revenue-generating area of
the university?
How can you make a better argument for improved collections funding?
How can you argue for favorable positioning for renovations or new
construction in campus master plans?
10. Why retention?
Doesn’t rely on self-reported
or anecdotal data
Provide evidence of powerful
correlations that can be
directly tied to institutional
performance and well-being
12. Tinto’s Model of Student Integration
Grounded in cost/benefit analysis
economics and Durkheim’s theory of suicide
Insufficient interactions with others and
insufficient congruency with prevailing value
patterns
Academic integration – goal commitment
Social integration – institutional commitment
Weaknesses: does not account for
non-traditional students, minorities,
and the impact of external
influences
13. Bean’s Model of Student Motivation
Dropping out is a behavior, and behaviors are
psychologically motivated
Four domains: academic performance; background
variables; intent to leave; and environmental
variables
Accounts for impact of finances, employment,
external encouragement/support, family
responsibilities, and opportunities to transfer
Weakness: drop-out behavior
as a pathology
14. Engagement
Level of investment in higher education in which students spend significant
time and energy on educationally purposeful activities. (Kuh et al., 2008)
Ten educationally purposeful activities which have been labeled as “high-impact
practices” by the American Association of Colleges and Universities
15. High-impact Practices
1. First-year seminars and experiences
2. Common intellectual experiences
3. Learning communities
4. Writing-intensive courses
5. Collaborative assignments and projects
6. Undergraduate research
7. Diversity and global learning experiences
8. Service learning
9. Internships
10.Capstone courses and projects
16. High-impact Practices & Academic Libraries
Majority of time associated with the high-impact practices takes place
in informal academic environments, such as the library
Requires integration of ideas or information from various sources
Including diverse perspective in class discussions or writing
Discussing ideas with faculty members outside of class
Discussing ideas with others outside of class
Making judgments about the value of information
(Kuh, 2008; Nelson et al., 2008)
17. Retention & Academic Libraries
Tend to focus on studies of space or collection
utilization, correlations with expenditures, and the
impact of instruction
Notable studies
• Haddow and Joseph, 2010
• Haddow, 2013
• Soria, Fransen, and Nackerud, 2013
• Soria, Fransen, and Nackerud, 2014
Library use – and use of particular library services –
tend to correlate with higher retention rates than non-use
18. The Murray State Assessment in Action Study
Data collection began in 2012: seeking to calculate correlations
between library use and student success metrics
Assessment in Action (ACRL) – correlations between library use,
time of semester, and retention
Led by Ashley Ireland, Director of User and Instruction Services
Data analysis completed by Dr. Jana Hackathorn
19. The Murray State Study
Data elements
• Checking out an item
• Logging into a library computer lab
• Logging into an electronic resource
• Logging into ILLiad
• Participation in an Instruction Session
• Enrollment in a credit-bearing Information Literacy course
Binary Logistic Regression to calculate Odds Ratio
20. Findings of the Murray State Study
Overall, library users are twice as likely to be retained as non-users. Use of
the library resources and services increased the odds of retention by 96%.
Checking out items increased likelihood of retention 36%
Logging into electronic resources, particularly later in the semester,
increased odds of retention by 24%
P< .001
RS = .079. This accounts for 8% of all possible reasons a student might be
retained.
21. Alignment with High-impact Practices
To better understand the perspectives of library deans on
the role of academic libraries in student retention using
the 10 high-impact practices as a conceptual framework
Exploratory study of 271 library deans at public Master’s
institutions (sample = 68)
Descriptive statistics, Pearson correlation coefficients, and
frequency distributions
22. Library Collections Library Instruction Library Facilities
First-year seminars
Common intellectual
experiences
Learning communities
Writing-intensive courses
Collaborative assignments
Undergraduate research
Diversity and global
learning
Service learning
Internships
Capstone courses
24. Key Findings At minimum, a moderately strong positive correlation
existed between ratings given by respondents to each
library scale and to each of the 10 high-impact
practices
Library instruction displayed a particularly strong
correlation with learning communities and
collaborative assignments
Collaborative assignments had an overall higher
correlation with each of the library scales
Library facilities displayed a strong positive correlation
with diversity and global learning
25. Other Findings
NO methods of documenting impact
Few methods of communicating impact beyond the Annual
Report
Continued overreliance on student learning outcomes as an
indirect measure of impact
Continued overreliance on self-reported, anecdotal, and
satisfaction data
26. Take-aways
Enough with relying only on indirect measures
In the era of big data, direct measures are becoming
much more feasible
Conduct an assessment audit to align data, outcomes, and institutional priorities
Develop visualizations of your different services/resources, assessment strategies, and their
connections to outcomes and institutional priorities
Stop confusing student learning outcomes with measures of retention or graduation
27. Take-aways
USE what you find!
Close the loop within the library
• Communicate your findings to library faculty/staff
• Refine services and resources based on your findings
Find new ways to communicate your findings externally. Put together a plan that accounts for all
stakeholders:
• Students
• Faculty/staff
• Deans
• Provost
• President
• Board
29. “A dreamer is one who can only find his
way by moonlight, and his punishment
is that he sees the dawn before the rest
of the world.”
Oscar Wilde
In the age of big data, increasing
accountability, and tightened budgets, we
have to “see the dawn” of new methods for
library assessment.
30. Friedel, J., Thornton, Z., D’Amico, M., & Katsinas, S. (2013). Performance-based funding: The national landscape. Education Policy Center.
Accessed October 23, 2014: http://uaedpolicy.ua.edu/uploads/2/1/3/2/21326282/pbf_9-17_web.pdf
Haddow, G. (2013). Academic library use and student retention: A quantitative analysis. Library & Information Science Research, 35(2), 127-136.
Haddow, G., & Joseph, J. (2010). Loans, logins, and lasting the course: Academic library use and student retention. Australian Academic &
Research Libraries, 41(4), 233-244.
Pernsteiner, G. & Carlson, A. (2014). SHEEO releases state higher education finance FY 2013. State Higher Education Executive Officers
Association. Accessed October 23, 2014:
http://www.sheeo.org/sites/default/files/publications/SHEF_FY13_%20Press%20Release_FINAL_041514.pdf
Soria, K., Fransen, J., & Nackerud, S. (2013). Library use and undergraduate student outcomes: New evidence for students' retention and
academic success. Portal: Libraries and the Academy, 13(2), 33-45.
Soria, K., Fransen, J., & Nackerud, S. (2014). Stacks, serials, search engines, and
students’ success: First-year undergraduate students’ library use, academic achievement, and retention. The Journal of Academic Librarianship,
40(1), 84-91.