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The Haves and Have Nots: Sophisticated Cross-Institutional Analysis Techniques that Support Budget Justifications Brian W. Keith 2014 Charleston Conference.

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Presentation on theme: "The Haves and Have Nots: Sophisticated Cross-Institutional Analysis Techniques that Support Budget Justifications Brian W. Keith 2014 Charleston Conference."— Presentation transcript:

1 The Haves and Have Nots: Sophisticated Cross-Institutional Analysis Techniques that Support Budget Justifications Brian W. Keith 2014 Charleston Conference 1

2 AGENDA Background The Question and another one Investigation (data and peers) Peer Analysis Demand and Resource comparisons Funding comparisons 1.Percentage based 2.Linear regression based 2

3 BACKGROUND The University of Florida (UF) is a major, public, comprehensive, land-grant, research university. It is one of only 17 public, land-grant universities that belong to the Association of American Universities, and is one of the largest universities in the nation, with more than 50,000 students. 3

4 The UF Libraries form the largest information resource system in the state. The UF Libraries consist of seven libraries; six are in the system known as the George A. Smathers Libraries. These include the Health Science Center Libraries (HSCL). The Smathers Libraries is an active member of the Association of Research Libraries (ARL). 4

5 5 FY2009- 2010 FY2010- 2011 FY2011- 2012 FY2012- 2013 Recurring$642,296$277,522$136,160$1,387,951 Non- Recurring $689,971 Since July 1, 2009, the Smathers Libraries have experienced $2.4 million in recurring funding cuts and $700,000 in one time cuts.

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7 In 2011, UF adopted Responsibility Centered Management (RCM) for budgeting. 7

8 Under RCM, the colleges became Responsibility Centers (revenue generators) and the Libraries became one of the numerous Support Units (non-revenue generating units primarily providing services to Responsibility Centers). The fundamental premise of RCM is to move decisions and resulting revenues to the colleges. 8

9 RCM, along with decreased UF appropriations and lost purchasing power for library materials have increased pressure (internally and externally) to assess library funding and expenditures 9

10 In 2014, UF launched UF Rising – a five-year initiative to elevate the University to among the nation’s top public universities. A combined $950 million is aimed at hiring new midcareer and eminent professors, adding new endowed professorships, and to upgrading and adding facilities. 10

11 Smathers Libraries Mission The Smathers Libraries partner with UF faculty, students and staff, as well as the University’s collaborators and constituents, to facilitate knowledge creation that contributes to UF’s standing as a preeminent public research university… 11

12 The QUESTION What should the funding be for the Smathers Libraries?  UF Libraries? Do the UF Libraries spend money eccentrically? 12

13 INVESTIGATION Establish Peers 13

14 INVESTIGATION Available data: National Center for Education Statistics (NCES) data for university characteristics that correlate with DEMAND for library resources & services ARL data for characteristics that reflect library RESOURCES relating to materials and staff 14

15 PEER ANALYSIS Demand v. Resources 15

16 PEER ANALYSIS 16 UNIVERSITY Demand Average Excluding UF UF as % of Non-UF Average Total Faculty4,206131% Total Students38,197131% Undergraduates27,346120% Graduate Students10,851158% PhD's Awarded1,187165%

17 17 LIBRARY Resources Average Excluding UF UF as % of Non-UF Average Volumes Held8,962,39853% Monographs Acquired (2011)89,28026% Librarians & Professional Staff16454% Other Staff22281% TOTAL Staff38669% $ for Materials$16,924,62777% $ for Hardware/Software (2011)$1,422,41313% TOTAL Library Expenditures$44,945,33664%

18 Findings: 1.UF is above average in all metrics reflecting demand for library services and/or resources 2.The UF Libraries are below average in all metrics reflecting the resources for the delivery of services and information 18

19 19 Per Faculty UFAVGRatio Volumes Held8692,2741 : 2.6 Monographs Acquired (2011)4.2821.021 : 4.9 Librarians and Professional Staff0.01620.04091 : 2.5 Other Staff0.03260.05551 : 1.7 TOTAL Staff0.04880.09641 : 2 $ for Materials$2,370$4,2141 : 1.8 $ for HW and SW (2011)$34.51$337.321 : 9.8 Total Lib Expenditures$5,202$11,2881 : 2.2

20 20 Per Undergraduate UFAVGRatio Volumes Held1463441 : 2.4 Monographs Acquired (2011)0.723.461 : 4.8 Librarians and Professional Staff0.00270.00621 : 2.3 Other Staff0.00550.00861 : 1.6 TOTAL Staff0.00820.01491 : 1.8 $ for Materials$397$6461 : 1.6 $ for HW and SW (2011)$5.80$57.681 : 10 Total Lib Expenditures$872$1,7371 : 2

21 21 Per Graduate Student UFAVGRatio Volumes Held2798281 : 3 Monographs Acquired (2011)1.387.761 : 5.6 Librarians and Professional Staff0.00520.01581 : 3 Other Staff0.01040.02261 : 2.2 TOTAL Staff0.01560.03841 : 2.5 $ for Materials$760$1,6561 : 2.2 $ for HW and SW (2011)$11.12$134.151 : 12.1 Total Lib Expenditures$1,668$4,4051 : 2.6

22 22 Per PhD Awarded UFAVGRatio Volumes Held2,4447,6201 : 3.1 Monographs Acquired (2011)11.0275.481 : 6.9 Librarians and Professional Staff0.04550.14281 : 3.1 Other Staff0.09160.20541 : 2.2 TOTAL Staff0.13720.34821 : 2.5 $ for Materials$6,664$15,1401 : 2.3 $ for HW and SW (2011)$88.82$1,2391 : 14 Total Lib Expenditures$14,627$40,1151 : 2.8

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29 LINEAR REGRESSION A model of the relationship between two variables: 1. Independent variable (e.g. a university budget) 2. Dependent variable (e.g. a library’s budget) MAY serve to predict a variable if the other variable is known 29

30 LINEAR REGRESSION R-squared or Coefficient of Determination Indicates the proportion of the change in one variable that is predictable from another 0 ≤ r 2 ≥ 1 Represents the percent of variation in a variable that can be explained by the relationship between the two 30

31 PEER ANALYSIS Compared UF to Three Groups of AAU Public Universities –Group A: 6 of Top 11 from US News (Aspirational Peers) –Group B: 10 of Top 25 from US News (Comprehensive Universities with Law & 2 or more Health Colleges) –Group C: UF Identified Peers 31

32 PEER ANALYSIS 32 Group AGroup BGroup C Top US Public Univ. PeersTop 25 Public Univ PeersUF Identified Peers ILLINOIS, URBANAMICHIGANCALIFORNIA, BERKELEY MICHIGANMINNESOTAILLINOIS, URBANA NORTH CAROLINA INDIANA PENNSYLVANIA STATEOHIO STATEMICHIGAN VIRGINIAPENNSYLVANIA STATENORTH CAROLINA WISCONSINPITTSBURGHOHIO STATE TEXASPENNSYLVANIA STATE VIRGINIATEXAS WASHINGTONTEXAS A&M WISCONSINVIRGINIA WISCONSIN

33 33 Group AGroup BGroup CUF Actual R² = 0.8637R² = 0.6398R² = 0.445R² = 0.0258

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35 LINEAR REGRESSION Linear regression line formula The model identified by the linear regression analysis of university revenue from tuition and appropriation at peer universities (independent variable) and total library expenditures at those institutions (dependent variable) for each year can be expressed in a regression line with a formula of Y = a + bX 35

36 LINEAR REGRESSION Linear regression line formula Y = a + bX In this formula: Y = the dependent variable (library) X = the independent variable (university) b = the slope of the regression line a = the intercept point of the regression line and the y axis. 36

37 PEER ANALYSIS 37 Application of Linear Regression Formulas to Estimate Appropriate Funding for UF Libraries UF Tuition & Appropriations 2008$855,300,000 2009$849,955,000 2010$797,569,000 2011$855,234,000 2012$848,376,000

38 PEER ANALYSIS 38 Application of Linear Regression Formulas to Estimate Appropriate Funding for UF Libraries Linear Regression for Peers: Total Library Expenditures & University Tuition and Appropriations 2008 y = 0.01x + 30,868,025 2009 y = 0.02x + 29,693,057 2010 y = 0.02x + 27,401,814 2011 y = 0.02x + 30,223,057 2012 y = 0.02x + 26,651,035

39 PEER ANALYSIS 39 Application of Linear Regression Formulas to Estimate Appropriate Funding for UF Libraries UF Tuition & Appropriations Linear Regression Line Formula UF Libraries Projected 2008$855,300,000 y = 0.01x + 30,868,025 $43,231,307 2009$849,955,000 y = 0.02x + 29,693,057 $43,249,625 2010$797,569,000 y = 0.02x + 27,401,814 $42,536,788 2011$855,234,000 y = 0.02x + 30,223,057 $43,650,863 2012$848,376,000 y = 0.02x + 26,651,035 $42,701,203

40 PEER ANALYSIS 40 Application of Linear Regression Formulas to Estimate Appropriate Funding for UF Libraries UF Libraries Projected UF Libraries Actual Expenditures Difference 2008 $43,231,307$28,573,302($14,658,005) 2009 $43,249,625$28,147,202($15,102,423) 2010 $42,536,788$27,242,279($15,294,509) 2011 $43,650,863$29,537,452($14,113,411) 2012 $42,701,203$28,581,160($14,120,043)

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43 PEER ANALYSIS Spending within libraries 43

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46 46 PEER ANALYSIS PROPORTION OF LIBRARY EXPENDITURES MaterialsStaffingOperations Median for Peers38%49%12% Average for Peers38%49%13% UF43%44%12%

47 47 y = 0.423029510129217x - 2,523,825.53

48 LINEAR REGRESSION Linear regression line formula Y = a + bX In this formula: Y = the dependent variable (materials exp.) X = the independent variable (total library exp.) b = the slope of the regression line a = the intercept point of the regression line and the y axis. 48

49 PEER ANALYSIS 49 Average UF Libraries Material Expenditures for 2008-2013 AVG$12,748,128 Application of Linear Regression Formulas to Examine UF Libraries Expenditures

50 PEER ANALYSIS 50 Average UF Libraries Material Expenditures for 2008-2013 Linear Regression for Peers: Library Materials & Total Library Expenditures UF Libraries Projected Total Expenditures $12,748,128 y = 0.42x - 2,523,825.53 $36,101,390 Application of Linear Regression Formulas to Examine UF Libraries Expenditures

51 PEER ANALYSIS 51 UF Libraries Projected Average Total Expenditures UF Libraries Actual Difference $36,101,390 $28,715,527($7,385,864) Application of Linear Regression Formulas to Examine UF Libraries Expenditures

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53 FINDINGS Linear regression showed there exists a relationship between library spending for staffing and materials, and total library expenditures at these top institutions The relationship can serve as a basis for assessing library expenditures at other institutions 53

54 Questions? 54


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