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P AUL L INGENFELTER S HARMILA B ASU C ONGER SHEEO D ENNIS J ONES NCHEMS O CTOBER 13, 2010 SHEEO’s Four-State Cost Study A Webinar of Findings and Applications
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Functions of Cost Analysis Build a formula Understand productivity trends Assess equity of budgeting when: Base plus budgeting is used Non-formula items are significant in budgets Formulas not observed consistently
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Building Blocks of Cost Studies Assign faculty salary/benefits to instruction, research, service to determine the direct cost of instruction Assign instructional costs to specific courses by discipline Count student credit hours in courses, and allocate cost of faculty to those credit hours Classify student credit hours - by level of student or by level of course Allocate overheads (student services, academic support, O&M, institutional support)
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Utility of Results Resulting matrix – Cost per Student Credit Hour by discipline and instructional level – can be used to: Identify higher cost/lower cost disciplines within and among institutions Assess funding trends/needs within an institution and unusually high or low cost disciplines Assess total institutional cost, in the context of average costs, for its unique instructional workload by discipline and level
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Sample Matrix AVERAGE Cost per Student Credit Hour (C/SCH) 2007: Florida, Illinois, and Ohio CIP Code Discipline Name Instructional Level LOWERUPPERGRAD IGRAD II Total (all levels) 1Agriculture $ 319 $ 467 $ 738 $ 874 $ 495 4Architecture $ 294 $ 451 $ 646 $ 835 $ 490 5Ethnic Studies $ 261 $ 404 $ 870 $ 1,183 $ 377 26Biological Sciences $ 261 $ 379 $ 995 $ 1,001 $ 406 52Business $ 206 $ 297 $ 553 $ 1,563 $ 327... TOTAL (all disciplines) $ 237 $ 338 $ 685 $ 950 $ 367
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Purpose of Study Can we do more with existing cost data? Four states with substantial cost data over multiple years Meta-analysis across states to reveal general trends Guiding Questions How do costs/credit hours vary by instructional level/discipline? Are differences stable across states? Over time? Increase visibility of trends, based on analysis of real data Substantial discipline-specific variation in cells of matrix Stable patterns emerge when data combined across disciplines
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Study Design Four States: Florida, Ohio, Illinois; NY-SUNY Course Coding: CIP (FL, OH, IL) vs. HEGIS (SUNY) Years of data: 2002-2007 (FL, OH, IL) vs. 1995-2004 (SUNY) Disciplines by State: 28 (FL, OH, IL) vs. 19 (SUNY) Four Instructional Levels: Undergraduate: Lower Division and Upper Division Graduate: Graduate I and Graduate II Classification: Course Level (OH); Student Level (IL); Mixed (FL, SUNY) Two Institution Types: 4-year (FL, OH, IL, SUNY) and CC (OH, IL) Analysis: Across All Disciplines; Discipline-Specific Cost Structures and Credit Structures, comparable across states Student Credit Hours and Cost of Instruction: Percent of Total by Instructional Level Cost per Student Credit Hour: Indexed to Lower Division Undergraduate
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Findings Across All Disciplines: Total Student Credit Hours (FL, OH, IL)
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Findings Across All Disciplines: Total Student Credit Hours (+SUNY) 35%45%< 5%
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Findings Across All Disciplines: Total Cost of Instruction (FL, OH, IL) 25% 45% 10%
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Findings Across All Disciplines: Total Cost of Instruction (+SUNY) 28% 38% 25% 45%10%
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Findings Across All Disciplines: Cost per Student Credit Hour (FL, OH, IL) 1.5 3.0 4.0 1.5
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Findings Across All Disciplines: Cost per Student Credit Hour (+SUNY) 1.53.04.01.5
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Summary of Findings Across All Disciplines Consistent patterns and trends across all four states: Similar patterns, stable over time, of credit hour distribution and cost structures across four levels of instruction Majority of both credit hours (80%) and cost (66%) represented by Undergraduate levels of instruction Almost half (45%) of both credit hours and cost represented by Upper Division Undergraduate level Cost per student credit hour increases with increasing instructional levels (LD : UD : G1 :G2) :: (1 : 1.5 : 3 : 4) T OTAL C OST OF I NSTRUCTION : Substantially greater number of credit hours in undergraduate levels OUTWEIGHS substantially greater cost per credit hour in graduate levels Similar trends over time in credit hours and cost measures Credit hours have increased over time in all four states Cost measures, adjusted for inflation, have remained stable or decreased
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Discipline-Specific Findings Analysis of “larger” disciplines: >5% of total cost/credits Individual disciplines generally demonstrate same cost and credit structures (by Instructional Level) as Totals for each state Greatest Fraction of Total Credits/Total Cost (FL, OH, IL) Lower: English, Math, Physical Sciences, Social Sciences Upper: Business, Education, Social Sciences Grad I: Business, Education, Health/Medicine Grad II: Biology, Education, Engineering, Physical Sciences Cost per Student Credit Hour (FL, OH, IL) Most expensive: Engineering, Health/Medicine, Law Least expensive: Math, English, Psychology
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Cost Comparison: Community Colleges 2007 Community College cost data available for IL and OH Comparison: Cost per Student Credit Hour Instructional cost data, Total (all disciplines) Public CCs compared to Lower Division Undergraduate, 4-years Finding: Per-Credit-Hour costs are equivalent! C OST PER S TUDENT C REDIT H OUR I LLINOIS O HIO Community Colleges$207$277 Lower Division Undergraduate, Baccalaureate Institutions $212$299
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Summary of Findings Cost/Credit structures, by Instructional Level: similar across disciplines consistent across states and over time Greatest fraction of Total Costs AND Total Credits: Upper Division Undergraduate Community Colleges and Baccalaureate Institutions: Equivalent in Cost per Student Credit Hour
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Application: Nevada Nevada System of Higher Education came to SHEEO and NCHEMS requesting assistance Goal: Determine whether the allocation of funds within the state was equitable across institutions. Available: Credit Hours by discipline and level Total General Fund Revenues (Tuition + Appropriations) Missing: Cost per Credit Hour by discipline and level Process: Part 1: Create costing “matrix” and table of relative weights Part 2: Apply table of relative weights to Nevada data
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Application: Nevada Process, Part 1: Create costing “matrix” and table of relative weights A “matrix” of average cost per student credit hour (C/SCH) was created Data from CIP states (FL, IL, OH) Sorted by discipline and instructional level (Sum of Total Costs)/(Sum of Total Credits) = Average C/SCH A table of relative weights was created from this “matrix” (lowest C/SCH set to 1.0) Process, Part 2: Apply table of relative weights to Nevada data Relative weights were multiplied by Nevada’s actual Credit Hours by discipline and level Revenues per weighted credit hour were calculated Using average for 3 states (FL, OH, IL) For each state Result was funding per weighted credit hour
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Sample Table of Relative Weights Relative Weights: Cost per Student Credit Hour (C/SCH) 2007: Florida, Illinois, and Ohio (average) CIP Code Discipline Name Instructional Level LOWERUPPERGRAD IGRAD II Total (all levels) 1Agriculture 1.832.684.245.022.85 4Architecture 1.692.593.714.802.81 5Ethnic Studies 1.502.325.006.802.16 26Biological Sciences 1.502.185.725.752.33 52Business 1.181.713.188.981.88... 42 Psychology (lowest C/SCH) 1.001.523.735.081.69... TOTAL (all disciplines) 1.361.943.945.462.11
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P AUL L INGENFELTER plingenfelter@sheeo.org S HARMILA B ASU C ONGER sbconger@sheeo.org D ENNIS J ONES dennis@nchems.org Contact Information
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