1 Tennessee Higher Education Commission Tennessees Outcomes-Based Funding Formula.

Slides:



Advertisements
Similar presentations
European Commission, DG EAC – Unit A3
Advertisements

Jack Jedwab Association for Canadian Studies September 27 th, 2008 Canadian Post Olympic Survey.
Symantec 2010 Windows 7 Migration EMEA Results. Methodology Applied Research performed survey 1,360 enterprises worldwide SMBs and enterprises Cross-industry.
Symantec 2010 Windows 7 Migration Global Results.
1 A B C
Simplifications of Context-Free Grammars
Variations of the Turing Machine
AP STUDY SESSION 2.
1
STATISTICS HYPOTHESES TEST (I)
STATISTICS POINT ESTIMATION Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.
Solving the Faculty Shortage in Allied Health 9 th Congress of Health Professions Educators 4 June 2002 Ronald H. Winters, Ph.D. Dean College of Health.
David Burdett May 11, 2004 Package Binding for WS CDL.
1 Establishing Performance Indicators in Support of The Illinois Commitment Presented to the Illinois Board of Higher Education December 11, 2001.
Create an Application Title 1Y - Youth Chapter 5.
Add Governors Discretionary (1G) Grants Chapter 6.
1 Tennessee Higher Education Commission Higher Education Outcomes Based Formula 2010.
Overview for CTE Educators CTE Accountability, Budget and Grants Management: Data Reporting July 15-17, 2013 Murfreesboro, TN Susan Cowden: Director of.
Tennessee Higher Education Commission Higher Education Recommendations & Finance Overview November 15, 2012.
CALENDAR.
1 Chapter 12 File Management Patricia Roy Manatee Community College, Venice, FL ©2008, Prentice Hall Operating Systems: Internals and Design Principles,
The 5S numbers game..
A Fractional Order (Proportional and Derivative) Motion Controller Design for A Class of Second-order Systems Center for Self-Organizing Intelligent.
Media-Monitoring Final Report April - May 2010 News.
Welcome. © 2008 ADP, Inc. 2 Overview A Look at the Web Site Question and Answer Session Agenda.
Break Time Remaining 10:00.
Factoring Quadratics — ax² + bx + c Topic
Supporting the Academic Success of Foster Youth
Turing Machines.
PP Test Review Sections 6-1 to 6-6
EIS Bridge Tool and Staging Tables September 1, 2009 Instructor: Way Poteat Slide: 1.
Regression with Panel Data
Operating Systems Operating Systems - Winter 2010 Chapter 3 – Input/Output Vrije Universiteit Amsterdam.
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
1 Tennessee Higher Education Commission Tennessee’s Outcomes-Based Funding Formula AASCU – December 1, 2011.
Adding Up In Chunks.
FAFSA on the Web Preview Presentation December 2013.
MaK_Full ahead loaded 1 Alarm Page Directory (F11)
Artificial Intelligence
DSS Decision Support System Tutorial: An Instructional Tool for Using the DSS.
Campus Compact 2007 Membership Survey Oklahoma and the Nation Disparities / Similarities.
Before Between After.
7/16/08 1 New Mexico’s Indicator-based Information System for Public Health Data (NM-IBIS) Community Health Assessment Training July 16, 2008.
12 October, 2014 St Joseph's College ADVANCED HIGHER REVISION 1 ADVANCED HIGHER MATHS REVISION AND FORMULAE UNIT 2.
Subtraction: Adding UP
Bell Busters! Unit 1 #1-61. Purposes of Government 1. Purposes of government 2. Preamble to the Constitution 3. Domestic tranquility 4. Common defense.
: 3 00.
5 minutes.
1 hi at no doifpi me be go we of at be do go hi if me no of pi we Inorder Traversal Inorder traversal. n Visit the left subtree. n Visit the node. n Visit.
Copyright © 2008 Pearson Addison-Wesley. All rights reserved. Chapter 10 A Monetary Intertemporal Model: Money, Prices, and Monetary Policy.
Types of selection structures
Converting a Fraction to %
Numerical Analysis 1 EE, NCKU Tien-Hao Chang (Darby Chang)
Clock will move after 1 minute
Physics for Scientists & Engineers, 3rd Edition
Select a time to count down from the clock above
Copyright Tim Morris/St Stephen's School
1.step PMIT start + initial project data input Concept Concept.
9. Two Functions of Two Random Variables
1 DIGITAL INTERACTIVE MEDIA Wednesday, October 28, 2009.
1 Dr. Scott Schaefer Least Squares Curves, Rational Representations, Splines and Continuity.
Chapter 4 FUGACITY.
Presented to: By: Date: Federal Aviation Administration FAA Safety Team FAASafety.gov AMT Awards Program Sun ‘n Fun Bryan Neville, FAASTeam April 21, 2009.
Illinois Higher Education FY15 Performance Funding Recommendations IBHE Board Presentation February 4, 2014 Dr. Alan Phillips.
Tennessee’s Outcomes-Based Funding Formula
IBHE Presentation 1 Proposed Four-Year University Performance Funding Model Performance Funding Steering Committee Meeting October 24, 2011 Dr. Alan Phillips.
IBHE Presentation 1 Illinois Higher Education Performance Funding Model IBHE Board Meeting February 7, 2012 Dr. Alan Phillips.
WACTC 2014 Allocation and Accountability Recommendations - Briefing SBCTC October 2014.
Presentation transcript:

1 Tennessee Higher Education Commission Tennessees Outcomes-Based Funding Formula

2 Tennessee Higher Education Commission Presentation Overview Where did the outcomes-based model idea originate? What is the significance of the outcomes-based approach in higher education finance policy? How was this accomplished? What was the process? How does the model work? How was it implemented? What are its strengths and weaknesses?

3 Tennessee Higher Education Commission Where did the outcomes-based model idea originate?

4 Tennessee Higher Education Commission Tennessee Finance Policy Reform For several years, THEC staff had been contemplating funding formula redesigns that would incorporate two key aspects: inclusion of productivity metrics and recognition of institutional mission. In late 2009 THEC proposed to then Governor Phil Bredesen a new incentive structure – an outcomes-based model that would replace the enrollment based model.

5 Tennessee Higher Education Commission Tennessee Finance Policy Reform Fall 2009: Governor Bredesen held monthly meetings with bi-partisan political leadership and education policymakers regarding education reform. Governor Bredesen had a strong interest in higher education policy reform. Linked to concurrent K-12 reforms.

6 Tennessee Higher Education Commission Tennessee Finance Policy Reform Gov. Bredesen included THECs idea of an outcomes-based model in a proposal for higher education reforms that he made to the Legislature. The Tennessee legislature debated these reforms, which included other policy issues, in January 2010.

7 Tennessee Higher Education Commission Tennessee Finance Policy Reform In January 2010, Tennessee passed the Complete College Tennessee Act. The legislation called for reforms in several areas: –student transfer –research collaboration –funding formula policy

8 Tennessee Higher Education Commission Complete College Tennessee Act Develop, after consultation with the Board of Regents and the University of Tennessee Board of Trustees, policies and formulae or guidelines for fair and equitable distribution and use of public funds … that are consistent with and further the goals of the statewide master plan. The policies and formulae or guidelines shall result in an outcomes-based model.

9 Tennessee Higher Education Commission What is the significance of the outcomes-based approach in higher education finance policy?

10 Tennessee Higher Education Commission Funding Formula Policy Previously, TN used an enrollment based model, much like other states. TN incorporated performance incentives in the model, but it was still heavily weighted towards enrollment. These models provided incentive for enrollment growth rather than for excellence or productivity.

11 Tennessee Higher Education Commission Other states have made significant progress in incorporating outcomes into their formula models. However, TN is the only state to jettison its enrollment based model in favor of an outcomes model. The TN design, utilizing outcomes and an institution-specific weighting structure, is unique in higher education finance policy. Funding Formula Policy

12 Tennessee Higher Education Commission This is not a reform to the long-standing Performance Funding program. The outcomes-based model completely replaces the enrollment-based model. There is no enrollment-based allocation in TN. This methodology is not for the allocation of any new state funding, but for all state funding. Funding Formula Policy

13 Tennessee Higher Education Commission How was this accomplished? What was the process?

14 Tennessee Higher Education Commission Developing a New Formula Model THEC convened a Formula Review Committee to discuss and debate the new formula design. The Committee included representatives from higher education and state government. Meetings each month in spring and summer Throughout the process, THEC consulted outside experts.

15 Tennessee Higher Education Commission Formula Review Committee (FRC) Broad membership Multiple formal FRC meetings Explicit institutional feedback and input Regional town halls Staff background briefings with UT, TBR, Constitutional officers and legislative members External consultant input

16 Tennessee Higher Education Commission Developing a New Formula Model Each committee meeting dealt with a different issue of formula design. The committee included people with vastly different views on higher education. Broad consensus on the philosophy and principles of new outcomes-based formula model. Most government and higher education officials agreed that funding on outcomes was better than enrollment.

17 Tennessee Higher Education Commission Tennessee Finance Policy Reform Institutions played a key role in the process. Selected campus presidents, CFOs and provosts were members of the Formula Review Committee. Presidents/chancellors were queried for their suggestions on what outcomes to include and the priority of the outcome.

18 Tennessee Higher Education Commission Developing a New Formula Model Institutional mission is a critical component of the CCTA and the outcomes-based formula. Some institutions do not focus on research and doctoral degrees, while others do. Some institutions focus on student access and are less selective in admissions. A major feature of the outcomes model design solved this issue for the committee.

19 Tennessee Higher Education Commission Developing a New Formula Model THEC recommended that the outcomes-based model weight outcomes differently by institution. For instance, as research has a larger role in institutional mission, it gets weighted more heavily in the model. This weighting feature allowed the model to be designed specifically to an institutions mission.

20 Tennessee Higher Education Commission Developing a New Formula Model THEC staff back-tested model designs by simulating the formula calculations for three prior years. This provided comfort that the new design was stable and that the new models behavior was properly understood. Once the outcomes model was finalized, THEC staff developed a projection tool, a Dynamic Formula Model, that allowed the user to simulate the effect of future changes in productivity.

21 Tennessee Higher Education Commission How does the model work?

22 Tennessee Higher Education Commission Developing a New Formula Model The exclusive use of outcomes, rather than beginning or end of term enrollment, and the inclusion of a unique weight for each outcome for each campus, are the two primary innovations introduced by Tennessee into higher education finance policy. Enrollment, beginning or end of term, simply no longer factors into TN higher education state funding.

23 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 1: Identify university outcomes for the formula model. University of Tennessee Knoxville

24 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 2: Collect actual data from an entire academic year on the various outcomes. For example, UTK produced 3,946 bachelors degrees. University of Tennessee Knoxville

25 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 3: Award a 40% premium for the production of certain outcomes by a low-income or adult student. University of Tennessee Knoxville If 100 adult students get a bachelors degree, the model acts as if 140 degrees were produced.

26 Tennessee Higher Education Commission TN Outcomes-Based Formula University of Tennessee Knoxville Step 4: Rescale the data, if necessary, so it is somewhat comparable across variables. Sometimes data is scaled up, sometimes down.

27 Tennessee Higher Education Commission TN Outcomes-Based Formula University of Tennessee Knoxville Step 4: Rescale the data, if necessary, so it is somewhat comparable across variables. Sometimes data is scaled up, sometimes down.

28 Tennessee Higher Education Commission TN Outcomes-Based Formula University of Tennessee Knoxville Step 5: Apply a weight to each outcome that reflects the priority of the outcome and the mission of the institution.

29 Tennessee Higher Education Commission TN Outcomes-Based Formula University of Tennessee Knoxville Step 6: Multiply and sum the Scaled Data times the Weight to produce the Weighted Outcomes.

30 Tennessee Higher Education Commission TN Outcomes-Based Formula University of Tennessee Knoxville All steps are identical at each university. The only difference is the weight factor applied to each university.

31 Tennessee Higher Education Commission Developing a New Formula Model The weighted outcomes are then monetized with an average SREB faculty salary multiplier. Final adjustments are made for selected fixed cost elements, such as infrastructure size and major equipment inventory. Finally, the Performance Funding or Quality Assurance program is added, which includes elements such as program accreditation, student satisfaction, licensure exam pass rates, etc.

32 Tennessee Higher Education Commission TN Outcomes-Based Formula For Illustration Purposes Only

Tennessee Higher Education Commission TN Outcomes-Based Formula Bachelors degrees; little research/doctoral degrees Extensive doctoral degrees and emphasis on research

Tennessee Higher Education Commission TN Outcomes-Based Formula Bachelors degrees; little research/doctoral degrees Extensive doctoral degrees and emphasis on research

35 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 1: Identify community college outcomes for the formula model. Nashville State Community College

36 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 2: Collect actual data from an entire academic year on the various on the various outcomes. For example, Nashville produced 504 associates degrees. Nashville State Community College

37 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 3: Award a 40% premium for the production of certain outcomes by a low-income or adult student. Nashville State Community College

38 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 4: Rescale the data so it is somewhat comparable across variables. Sometimes data is scaled up, sometimes down. Nashville State Community College

39 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 5: Apply a weight to each outcome that reflects the priority of the outcome and the mission of the institution. Nashville State Community College

40 Tennessee Higher Education Commission TN Outcomes-Based Formula Step 6: Multiply and sum the Scaled Data times the Weight to produce the Weighted Outcomes. Nashville State Community College

41 Tennessee Higher Education Commission TN Outcomes-Based Formula All steps are identical at each community college. The only difference is the weight factor applied to each institution. Nashville State Community College

42 Tennessee Higher Education Commission TN Outcomes-Based Formula For Illustration Purposes Only

Tennessee Higher Education Commission TN Outcomes-Based Formula The Community College weighting structure is uniform and reflects institutional priority of the various outcomes.

44 Tennessee Higher Education Commission TN Outcomes-Based Model All outcomes, save graduation rate, are counts rather than rates. Therefore, the outcomes model does not depend on an initial cohort. It includes any outcome achieved by any student at any time (part time, returning students, transfers, etc.). If we can locate the outcome, it is counted.

45 Tennessee Higher Education Commission TN Outcomes-Based Model Most outcome data are derived from a statewide student information system. There are no state-imposed targets or pre-determined goals. Each institutions formula calculation is independent of other institutions.

46 Tennessee Higher Education Commission TN Outcomes-Based Model However, the allocation of available (limited) state appropriations is competitive. The distribution of state appropriations follows a pro-rata share of each institutions formula calculation. If the state funds 50% of the overall higher education request, then each institution will receive 50% of its outcomes formula request.

47 Tennessee Higher Education Commission TN Outcomes-Based Formula All state funding is back up for grabs every year. No institution is entitled to some minimal level of appropriations that is based on prior-year funding. State appropriations have to be earned anew each year.

48 Tennessee Higher Education Commission TN Outcomes-Based Formula Formula has never been and is not now an institutional budgeting tool. Outcomes based model does not have targets or goals; it is not large scale Performance Funding. Institutional excellence will no longer be overshadowed by enrollment growth.

49 Tennessee Higher Education Commission How was the outcomes model implemented?

50 Tennessee Higher Education Commission Implementation Strategies Increased stability: funding is now a function of 10 variables, rather than a single variable (enrollment). The outcomes model begins where the old enrollment model left off. Enrollment Model Approach Outcomes Model Approach Seamless Transition from Enrollment to Outcomes

51 Tennessee Higher Education Commission TN Outcomes-Based Formula State Appropriations Based on Enrollment (Hypothetical) vs. Outcomes (Actual)

52 Tennessee Higher Education Commission What are the strengths and weaknesses of the outcomes- based formula model?

53 Tennessee Higher Education Commission Multiple measures of productivity, previously unaccounted for, will now be credited to the institution. Formula is not prescriptive in how to achieve success and excellence. Does not penalize failure to achieve pre- determined goals. Outcomes Based Model Advantages

54 Tennessee Higher Education Commission Outcomes Based Model Advantages Emphasizes unique institutional mission. More flexible and can accommodate future shifts in mission or desired outcomes. More transparent and simpler for state government.

55 Tennessee Higher Education Commission Outcomes Based Model Advantages The outcomes model is linked directly to the educational attainment goals of TNs Public Agenda. The outcomes model establishes a framework for government to have an ongoing policy discussion with higher education. The model is adjustable to account for new outcomes or a different policy focus (changing the weights).

56 Tennessee Higher Education Commission Outcomes Based Model Advantages The structure (outcomes & weights) of the outcomes-based model is the key innovation. The specific outcomes and weights that TN chose fit our states context and current needs. Other states could adopt the general design and decide for themselves what outcomes are valuable and how they should be weighted to reflect institutional mission.

57 Tennessee Higher Education Commission Institution Concerns How flexible will the outcomes model be? What unintended consequences will the new model cause? Can weights capture institution mission effectively?

58 Tennessee Higher Education Commission Institution Concerns Can the model appropriately balance stability and volatility? The outcomes model is heavily quantitative; does Performance Funding provide a sufficient emphasis on quality? Outcomes are largely a function of input, or the quality of the incoming student.

59 Tennessee Higher Education Commission From the Perspective of an Institution…. State government should be clear in its expectations for higher education. Institutions should be given wide latitude in organizational, budgetary, programmatic and academic matters. State government should provide incentives for achievement, but should not interfere with institutional judgments about how to achieve those goals.

60 Tennessee Higher Education Commission From the Perspective of State Government…. What is the most effective means of allocating limited state resources among institutions? What macro-level information is crucial to making allocation decisions among institutions? What type of incentive structure can be created, with minimal operational interference but maximum leverage, to achieve state goals?

61 Tennessee Higher Education Commission TN Outcomes Formula Extensive information, including the formula model, are available on the THEC homepage. tn.gov/thec

62 Tennessee Higher Education Commission Tennessees Outcomes-Based Funding Formula

63 Tennessee Higher Education Commission Russ Deaton, Ph.D. Associate Executive Director for Fiscal Policy & Administration Tennessee Higher Education Commission 404 James Robertson Parkway, Suite 1900 Nashville, TN For more information, please contact: