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The Punishment for Dreamers: 
Big Data, Retention, and Academic Libraries 
Adam L. Murray 
Dean of University Libraries 
Murray State University
amurray@murraystate.edu @adammurray12
“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
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
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
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
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
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?
Why retention? 
 Oakleaf’s Study: 
• Student enrollment 
• Student retention & graduation rates 
• Student success 
• Student achievement 
• Student learning 
• Student experience 
• Faculty research productivity 
• Faculty grant proposals and funding 
• Faculty teaching 
• Institutional reputation/prestige
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
Theories of Student Retention 
Bean 
(psychological) 
Tinto 
(sociological)
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
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
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
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
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)
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
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
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
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.
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
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
Library Collections Library Instruction Library Facilities 
First-year seminars 0.414** 0.392** 0.473** 
Common intellectual experiences 0.514** 0.474** 0.385** 
Learning communities 0.598** 0.687** 0.472** 
Writing-intensive courses 0.414** 0.427** 0.534** 
Collaborative assignments 0.651** 0.722** 0.635** 
Undergraduate research 0.505** 0.581** 0.533** 
Diversity and global learning 0.436** 0.499** 0.608** 
Service learning 0.569** 0.509** 0.454** 
Internships 0.473** 0.429** 0.534** 
Capstone courses 0.564** 0.512** 0.553** 
** Denotes a significant correlation (p<0.01)
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
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
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
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
Concerns 
Privacy 
Security 
IRB & Registrar
“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.
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.
@adammurray12 
amurray@murraystate.edu 
Thank you!

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The Punishment for Dreamers - Adam Murray

  • 1. The Punishment for Dreamers: Big Data, Retention, and Academic Libraries Adam L. Murray Dean of University Libraries Murray State University
  • 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?
  • 9. Why retention?  Oakleaf’s Study: • Student enrollment • Student retention & graduation rates • Student success • Student achievement • Student learning • Student experience • Faculty research productivity • Faculty grant proposals and funding • Faculty teaching • Institutional reputation/prestige
  • 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
  • 11. Theories of Student Retention Bean (psychological) Tinto (sociological)
  • 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
  • 23. Library Collections Library Instruction Library Facilities First-year seminars 0.414** 0.392** 0.473** Common intellectual experiences 0.514** 0.474** 0.385** Learning communities 0.598** 0.687** 0.472** Writing-intensive courses 0.414** 0.427** 0.534** Collaborative assignments 0.651** 0.722** 0.635** Undergraduate research 0.505** 0.581** 0.533** Diversity and global learning 0.436** 0.499** 0.608** Service learning 0.569** 0.509** 0.454** Internships 0.473** 0.429** 0.534** Capstone courses 0.564** 0.512** 0.553** ** Denotes a significant correlation (p<0.01)
  • 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
  • 28. Concerns Privacy Security IRB & Registrar
  • 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.