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Kitti Canepi
    Head, Info Resources Management
Southern Illinois University Carbondale
                   kcanepi@lib.siu.edu
Canepi, Kitti.

“Fund Allocation Formula Analysis: Determining
  Elements for Best Practices in Libraries.”

Library Collections, Acquisitions, and Technical
  Services 31, no. 1 (2007): 12-24.
 doi:10.1016/j.lcats.2007.03.002.

   Also available in OpenSIUC: http://opensiuc.lib.siu.edu/
Limited funds to purchase library materials

    Formal or informal allocations

    Perception of fairness & rational basis

    Historical expenditures alone are suspect

    Impact of

    ◦ monographs v. serials
    ◦ budget cuts
Featured in American library periodicals since

    the early 1900s
    Means to apportion materials funds equitably

    Former academic department control

    switched back to libraries since 1960’s
    Measure by proxy what users want

    Do libraries adopt similar protocols?

Step One: Meta-analysis of published articles to
  ascertain the variables

Step Two: Establish a usable sample & elements

Step Three: Determine frequency of elements & any
   significant correlations
Equal preference (57%)

    ◦ Enrollment (numbers of students)
    ◦ Cost (price of materials)
    Next (50%)

    ◦ Use (circulation)
    Next (38%)

    ◦ Number of faculty
    Next (25% or less)

    ◦ Everything else
Historical - past practice


    Demand - need or expected need


    Supply - what is available for how much


    Weighted - what has more impact/value

Enrollment/Number of Students
        Cost/Price of Materials
               Use/Circulation
            Number of Faculty
     Courses (Number/Nature)
        Grad versus Undergrad
                     Programs
    Research Budget or Output
            Publication Output
                  Credit Hours
   Scope of Existing Collection
                     Historical
Adequacy of Current Collection
                      Citations
    Library or University Goals
                      Formats
       Faculty Needs or Wants
              Interlibrary Loan
            Subjects Published
       Other Weighted Factors
               Honor Students
                      Inflation
              Faculty Research
                                  0   2   4   6   8   10   12   14   16
f
Element                                   Type                 Mean/S.D.
Enrollment/Number of Students (F7)        Demand       16      0.571 (0.503)
Cost/Price of Materials (F19)             Supply       16      0.571 (0.503)
Use/ Circulation (F3)                     Demand       14      0.500 (0.314)
Number of Faculty (F8)                    Demand       10      0.357 (0.487)
Courses (Number/Nature) (F5)              Demand           7   0.250 (0.440)
Grad vs. Undergrad (F21)                   Weighted        7   0.250 (0.440)
Programs (F13)                            Demand           6   0.214 (0.417)
Research Budget or Output (F14)           Demand           6   0.214 (0.417)
Publication Output (F18)                  Supply           6   0.214 (0.417)
Credit Hours (F6)                         Demand           4   0.142 (0.356)
Scope of Existing Collection (F15)        Demand           4   0.142 (0.356)
Historical (F1)                           Historical       3   0.107 (0.314)
Adequacy of Current Collection (F2)       Demand           3   0.107 (0.314)
Citations (F4)                            Demand           3   0.107 (0.314)
Library or University Goals (F12)         Demand           3   0.107 (0.314)
Formats (F16)                             Supply           3   0.107 (0.314)
Faculty Needs or Wants (F9)               Demand           2   0.071 (0.262)
Interlibrary Loan (F11)                   Demand           2   0.071 (0.262)
Subjects Published (F20)                  Supply           2   0.071 (0.262)
Other Weighted Factors (F23)              Weighted         2   0.071 (0.262)
Honor Students (F10)                      Demand           1   0.035 (0.188)
Inflation (F17)                           Supply           1   0.035 (0.188)
Faculty Research (F22)                     Weighted        1   0.035 (0.188)

                        Elements Found in Fund Allocations by Frequency (N=28)
Factors related/likely found in same formula

    Pearson's R two-tailed analysis

    10 pairs of elements positively correlated at

    0.01 significance level
    7 additional pairs correlated at 0.05

    significance
    Highly faculty- and student-centered

Paired Elements                                    Pearson's R        F Code Pairing
1. Credit Hours + Grad vs. Undergrad                0.707**           F6, F21
2. Inflation + Subjects Published                   0.694**           F17, F20
3. Faculty Needs or Wants + Scope of Existing       0.679**           F9, F15
    Collection
4. Number of Faculty + Grad vs. Undergrad           0.602**           F8, F21
5. Formats + Inflation                              0.556**           F16, F17
6. Formats + Faculty Research                       0.556**           F16, F22
7. Credit Hours + Number of Faculty                 0.548**           F6, F8
8. Credit Hours + Publication Output                0.533**           F6, F18
9. Number of Faculty + Programs                     0.519**           F8, F13
10. Scope of Existing Collection + Formats          0.518**           F15, F16
11. Scope of Existing Collection + Faculty          0.471*            F15, F21
    Research
12. Use/Circulation + Enrollment                   -0.433*            F3, F7
13. Historical + Enrollment                        -0.400*            F1, F7
14. Historical + Cost                              -0.400*            F1, F19
15. Citations + Cost                               -0.400*            F4, F19
16. Research Budget or Output + Formats             0.382*            F14, F16
17. Adequacy of Current Collection + Research      -0.382*            F2, F14
    Budget/Output
                                                Correlations and Significance Levels
** p > .01, * p > .05
Student enrollment

    ◦ Readily available, university uses, funding from
      student tuition
    Cost of materials

    ◦ Price variance between disciplines
    Use statistics

    ◦ Past use as predictor of future need
    Number of faculty

    ◦ Faculty research, requests, politics
Things intend to take into account but don’t

    5 variables not paired significantly with any

    other element
        Courses (number/nature)
    ◦
        Library or university goals
    ◦
        Interlibrary loan
    ◦
        Honor students
    ◦
        Other weighted factors (not grad/undergrad or
    ◦
        faculty research)
Credit hours             Scope of existing
                        
                             collection
    Publication output

                             Formats
    Graduate versus      

    undergraduate            Inflation
                         
    Programs                 Faculty research
                        
    Faculty needs or         Subjects published
                        
    wants
Fund allocation formulas measure by proxy

    what can’t measure directly
    Most frequently used factors of 28 examples:

        enrollment/number of students
    ◦
        cost/price of materials
    ◦
        use as measured by circulation
    ◦
        number of faculty
    ◦
    Inclusion of them is highly recommended

    Create your own allocation formula that

    incorporates what is most important to you
Kitti Canepi
kcanepi@lib.siu.edu

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Fund Allocation Formula Overview and Best Practices

  • 1. Kitti Canepi Head, Info Resources Management Southern Illinois University Carbondale kcanepi@lib.siu.edu
  • 2. Canepi, Kitti. “Fund Allocation Formula Analysis: Determining Elements for Best Practices in Libraries.” Library Collections, Acquisitions, and Technical Services 31, no. 1 (2007): 12-24. doi:10.1016/j.lcats.2007.03.002. Also available in OpenSIUC: http://opensiuc.lib.siu.edu/
  • 3. Limited funds to purchase library materials  Formal or informal allocations  Perception of fairness & rational basis  Historical expenditures alone are suspect  Impact of  ◦ monographs v. serials ◦ budget cuts
  • 4. Featured in American library periodicals since  the early 1900s Means to apportion materials funds equitably  Former academic department control  switched back to libraries since 1960’s Measure by proxy what users want  Do libraries adopt similar protocols? 
  • 5. Step One: Meta-analysis of published articles to ascertain the variables Step Two: Establish a usable sample & elements Step Three: Determine frequency of elements & any significant correlations
  • 6. Equal preference (57%)  ◦ Enrollment (numbers of students) ◦ Cost (price of materials) Next (50%)  ◦ Use (circulation) Next (38%)  ◦ Number of faculty Next (25% or less)  ◦ Everything else
  • 7. Historical - past practice  Demand - need or expected need  Supply - what is available for how much  Weighted - what has more impact/value 
  • 8. Enrollment/Number of Students Cost/Price of Materials Use/Circulation Number of Faculty Courses (Number/Nature) Grad versus Undergrad Programs Research Budget or Output Publication Output Credit Hours Scope of Existing Collection Historical Adequacy of Current Collection Citations Library or University Goals Formats Faculty Needs or Wants Interlibrary Loan Subjects Published Other Weighted Factors Honor Students Inflation Faculty Research 0 2 4 6 8 10 12 14 16
  • 9. f Element Type Mean/S.D. Enrollment/Number of Students (F7) Demand 16 0.571 (0.503) Cost/Price of Materials (F19) Supply 16 0.571 (0.503) Use/ Circulation (F3) Demand 14 0.500 (0.314) Number of Faculty (F8) Demand 10 0.357 (0.487) Courses (Number/Nature) (F5) Demand 7 0.250 (0.440) Grad vs. Undergrad (F21) Weighted 7 0.250 (0.440) Programs (F13) Demand 6 0.214 (0.417) Research Budget or Output (F14) Demand 6 0.214 (0.417) Publication Output (F18) Supply 6 0.214 (0.417) Credit Hours (F6) Demand 4 0.142 (0.356) Scope of Existing Collection (F15) Demand 4 0.142 (0.356) Historical (F1) Historical 3 0.107 (0.314) Adequacy of Current Collection (F2) Demand 3 0.107 (0.314) Citations (F4) Demand 3 0.107 (0.314) Library or University Goals (F12) Demand 3 0.107 (0.314) Formats (F16) Supply 3 0.107 (0.314) Faculty Needs or Wants (F9) Demand 2 0.071 (0.262) Interlibrary Loan (F11) Demand 2 0.071 (0.262) Subjects Published (F20) Supply 2 0.071 (0.262) Other Weighted Factors (F23) Weighted 2 0.071 (0.262) Honor Students (F10) Demand 1 0.035 (0.188) Inflation (F17) Supply 1 0.035 (0.188) Faculty Research (F22) Weighted 1 0.035 (0.188) Elements Found in Fund Allocations by Frequency (N=28)
  • 10. Factors related/likely found in same formula  Pearson's R two-tailed analysis  10 pairs of elements positively correlated at  0.01 significance level 7 additional pairs correlated at 0.05  significance Highly faculty- and student-centered 
  • 11. Paired Elements Pearson's R F Code Pairing 1. Credit Hours + Grad vs. Undergrad 0.707** F6, F21 2. Inflation + Subjects Published 0.694** F17, F20 3. Faculty Needs or Wants + Scope of Existing 0.679** F9, F15 Collection 4. Number of Faculty + Grad vs. Undergrad 0.602** F8, F21 5. Formats + Inflation 0.556** F16, F17 6. Formats + Faculty Research 0.556** F16, F22 7. Credit Hours + Number of Faculty 0.548** F6, F8 8. Credit Hours + Publication Output 0.533** F6, F18 9. Number of Faculty + Programs 0.519** F8, F13 10. Scope of Existing Collection + Formats 0.518** F15, F16 11. Scope of Existing Collection + Faculty 0.471* F15, F21 Research 12. Use/Circulation + Enrollment -0.433* F3, F7 13. Historical + Enrollment -0.400* F1, F7 14. Historical + Cost -0.400* F1, F19 15. Citations + Cost -0.400* F4, F19 16. Research Budget or Output + Formats 0.382* F14, F16 17. Adequacy of Current Collection + Research -0.382* F2, F14 Budget/Output Correlations and Significance Levels ** p > .01, * p > .05
  • 12. Student enrollment  ◦ Readily available, university uses, funding from student tuition Cost of materials  ◦ Price variance between disciplines Use statistics  ◦ Past use as predictor of future need Number of faculty  ◦ Faculty research, requests, politics
  • 13. Things intend to take into account but don’t  5 variables not paired significantly with any  other element Courses (number/nature) ◦ Library or university goals ◦ Interlibrary loan ◦ Honor students ◦ Other weighted factors (not grad/undergrad or ◦ faculty research)
  • 14. Credit hours Scope of existing   collection Publication output  Formats Graduate versus   undergraduate Inflation  Programs Faculty research   Faculty needs or Subjects published   wants
  • 15. Fund allocation formulas measure by proxy  what can’t measure directly Most frequently used factors of 28 examples:  enrollment/number of students ◦ cost/price of materials ◦ use as measured by circulation ◦ number of faculty ◦ Inclusion of them is highly recommended  Create your own allocation formula that  incorporates what is most important to you