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Winter 2003

Email bhaig@execpc.com to receive every new issue.  In this issue:

AEF Members Need to Take Part in Task Force Hearings

Governor Jim Doyle's Task Force on Educational Excellence has scheduled two meetings for members to receive public testimony.

The first meeting is scheduled for 10 a.m. on Thursday, November 6 in Room C 106 at the Northern Technical College in Wausau. The Task Force will take public testimony from 3 to 7 p.m. The second meeting will take place in Milwaukee on December 11 at a location to be determined.

I encourage you to attend the Task Force meetings or submit testimony via the website. A progress report is due near the end of 2003, and a final report should be out by spring.

AEF has taken the opportunity to inform members about the issues they'll face. Executive Director Doug Haselow has spent the past several weeks getting in touch with Task Force members and letting them know the importance of equity for students and taxpayers. He distributed our Legislative Proposal, which provides an excellent overview of the situation. In some cases, it could be the first real exposure the Task Force members have had to the history, structure and issues revolving our state school finance structure.

The Side-by-side Comparison of School Finance Plans may help you understand the issue yourself. And below, you'll find a report from former Wisconsin Department of Public Instruction assistant superintendent Bambi Statz which clearly shows that pupil weighting systems for special education does not lead to over-identification of disabled children.

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AEF Takes the Lead

Because the Governor wants to be sure all Task Force meetings are both open to the public and involve public input, it is important for AEF members to appear at the upcoming hearings and emphasize the inequality of our current system. Again in 2003-04, some districts are able to invest twice as much public money to educate their children as other districts. And again, some property owners are forced to pay school property tax rates five times as high as others.

At the same time our categorical aid system continues to fail to meet the additional educational needs of the student populations identified in the standard set by the Wisconsin Supreme Court.

Task Force members need to hear about the impact of these failings of our system from those of us who must live with them and the state's responsibility to correct them. I urge you to discuss these issues with the members both as individuals and at the public hearings.

The Task Force's timetable makes legislative action this session very uncertain, as legislators circulate nomination papers in June. At this point we do not know whether any school finance issues may become legislative campaign issues. Nonetheless, we will continue to focus on the basics of state responsibility, equal access to state and local revenue and additional funds to meet additional educational needs.

If you have any questions, please contact me toll free - 866-781-8332

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Weighty Issues: Determining if Pupil Weighting for Special Education Funding Increases Identification

The Wisconsin Supreme Court has directed that districts with disproportionate numbers of children with special needs (known as Exceptional Educational Needs -- EEN), as well as those with limited English language skills and those who are economically disadvantaged, be taken into account. Some have advocated that the additional educational needs of each of these populations can best be addressed through an equalized pupil weighting system which would increase the amount for both aid and revenue limit purposes.

One such proposal suggests that state assistance be provided to cover the excess costs of special education services by applying an additional 0.2 (pupil count or weighting) for students whose special education services occur during less than 21% of the day. Pupils whose special education services apply to between 21-60% of the school day would be weighted an additional 0.5, and students receiving such services more than 60% of the day would be weighted at an additional 1.5. These weights would be added to the 1.0 full-time equivalent (FTE) pupil count for every pupil in the district. Opponents of pupil weighting, however, have argued that a system of weighting students with special needs would present an incentive for identifying such students and that the incidence rate would likely increase.

State-by-State Analysis
To determine if pupil weighting affects the frequency of identifying students as needing special education, an analysis was conducted of the EEN incidence rates in states that applied pupil weighting versus those that did not. For purposes of this examination, the National Center for Education Statistics 1998-99 Database of Public School Finance Programs of the United States and Canada (published in 2001 by the U.S. Department of Educational Research and Improvement, U.S. Department of Education) was consulted. The state-by-state descriptions of funding formulas found in this database were reviewed to identify which states incorporate pupil weighting in the funding of special education programs.

A total of 48 states included references to special education funding. Of those 48 states, 26 states were identified that tied special education funding to the number of EEN pupils identified by the local district. (Note: New Jersey was removed from this group because of questionable data.) The remaining 25 states were classified as "weighting" states, and almost all of these used a formal pupil weighting system that assigned additional FTEs to pupils with disabilities. In a few instances (California, Delaware, Indiana, and South Dakota), funds were distributed on a flat dollar-per-pupil basis. While this did not carry the concept of pupil weighting into the general education aid formula, the issue of providing an incentive for identifying students with special needs would also apply to these models. Hence, they were counted among the states that rely on pupil counts to distribute money for EEN services. Click here to see a list of the states included in this set, along with a brief summary of the pupil count mechanism utilized in each case.

The remaining 22 states were classified as having "cost-reimbursement -- non pupil weighting" formulas. In these states, local districts are reimbursed for special programs either on the basis of actual costs or flat dollar amounts. In a two instances, Kansas and Missouri, funding was distributed on the basis of teachers or units (not pupils). Since this was not directly correlated to the number of pupils, these were also categorized as cost reimbursement. (Note: Michigan was removed from this group because of questionable data.) Click here to see the list of 21 states classified as cost-reimbursement.

Examining EEN Incidence
To facilitate the comparison between funding formulas of states in these two groups and the rate of EEN incidence, the level of EEN incidence beginning in 1997 was examined. Data for this comparison were obtained from the National Center for Education Statistics Common Core of Data (NCES-CCD). The incidence rates across both groups of states in 1997 were examined in terms of the percentage that EEN populations were of the entire public school student population served in each state. In addition, the trends among these states from 1997 to 2000 (each of the years for which data were available) also were reviewed to determine if there had been any change in EEN identification rates over the four-year period.

It should be noted that these comparison groups of states were based on the funding formulas in place in each state in 1997. No attempt has been made to determine if changes in formulas had taken place over the four-year period. In addition, it is recognized that many factors influence EEN identification rates and no value judgment is being made about the level of incidence in any particular state. Further, it is emphasized that this study of trends across these two groups of states has in no way attempted to identify a cause and effect relationship between the funding formulas and the rate of EEN incidence. The results do, however, suggest an interesting pattern when types of funding formulas are compared with incidence rates.

Findings
An examination of the EEN incidence rates in 1997 showed a national average rate of 11.94%. The group of states whose funding formulas included weighting had an incidence rate of 12.36% while the cost-reimbursement states had a rate of 12.56%. Figure 1 compares the national average incidence rate with that of each of the two groups for each of the four years studied.

Figure 1; Four-Year Summary of the Rate Of EEN Incedence By Groups of States Based on Funding Formula

Description
1997
1998
1999
2000
Cost Reimbursement Group Summary
12.56%
12.74%
13.00%
13.33%
Pupil Weighting Group Summary
12.36%
12.70%
12.82%
12.95%
National Percentage Change
12.40%
12.70%
12.88%
13.07%

This analysis shows that there is little difference between the EEN incidence rates of states using pupil weighting and those that do not. The group of states using pupil weighting to distribute special education funding actually had a slightly (0.20) lower rate of EEN incidence in 1997 than the group of cost reimbursement states. Their rate of EEN incidence also proved to be below the national average.

In each of the four years studied (see Figure 2), the group of states using a cost reimbursement formula had a higher EEN incidence rate than did the pupil-weighting group. An examination of the trend over the four year period shows that between 1997 and 2000 the pupil weighting group went from 12.36% EEN to 12.95%. This represents a .60 or 4.62% increase in the rate of EEN incidence in this group of states. During the same period, the cost reimbursement group went from 12.56% to 13.33% or an increase of .78 (5.82%).

Figure 2

While it is apparent that neither group increased at a high rate over this four-year period of time, the larger increase (.18 or 1.20% more) was seen in the cost reimbursement group, not the pupil-weighting group. The national increase in EEN incidence over this period was .68, which represents an increase of 5.20%.

Conclusions
While this analysis does not establish a cause and effect relationship between the approach to funding special education programs and the rate of identification of EEN pupils, it does show that the rate of identification is fairly similar across both groups of states.

The review also shows that it is higher among cost reimbursement states as a group than it is among states that subscribe to pupil weighting. Lastly, it shows that the change over the four-year period was greater among cost reimbursement states than it was among pupil weighting states.

Hence, this reveals that cost reimbursement states as a group started out higher, grew more and ended higher than did the states applying pupil-weighting formulas to fund special education programs.

Ultimately, it would appear from these findings that fear of over-identification of EEN pupils based on pupil weighting components of state funding formulas is unwarranted.

REFERENCES -- National Center for Education Statistics (2001). Public School Finance Programs of the United States and Canada: 1998-99. U.S. Department of Educational Research and Improvement, U.S. Department of Education.

National Center for Education Statistics Common Core of Data (1997-2000). http://www.nces.ed.gov/ccd/. NCES_ReportEENMultYrs2.xls.

Appendix A: List of States Identified Utilizing Pupil Weighting

(Eliminated New Jersey)

STATE ABBR
EEN Aid Type
Categorical Aid Type: Included Pupil Weighting
AL
W
ADM 2.5 weighted in all grades
AZ
W
.003 - 6.025
CA
W
Flat aid per ADA EEN child
DC
W
.22 - 1.73
DE
W
Flat $ per EEN units-based on pupils/unit
FL
W
1.240 - 6.86 w/Reg Ed = 1.0
GA
W
2.4473 - 5.6338 w/Reg Ed = 1.0 - 1.32
IA
W
.68, 1.35, 2.74
IN
W
Flat $/pupil - 3 categories:$7285,1977,469
KY
W
.24, 1.17, 2.25
LA
W
All weighted at 1.5
MA
W
Per Pupil $/% based integr v. sep instr prgrm
NC
W
$/% pupil funding
NM
W
.70 - 2.0
NY
W
Based on (20 - 60%) X in Spec Educ: .90 - 1.70
OH
W
.22, 3.01, 3.01
OK
W
.05,.40,2.40,2.90,3.80
OR
W
2.0
SC
W
1.74 - 2.57 (10 categories)
SD
W
Flat $/pupil - 5 levels tied to cost differences
TN
W
Weighted memb - class/nonclassrm parts
TX
W
Weights calculated on FTE student basis
UT
W
1.53 FTE above 1.0 reg FTE*
WA
W
.9309 - 1.15 above basic FTE & Saftey Net $
WV
W
2 Additional weightings per EEN pupil

Source: NCES Public School Finance Programs of the United States and Canada: 1998-99 (NCES 2001-369)

Appendix B: List of States Identified Not Utilizing Pupil Weighting

(Eliminated Michigan)

STATE ABBR
EEN Aid Type
Description
AK
C
Grants
CO
C
% reimbursement (80% of apprd costs)
CT
C
% reimbursement (100% of excess costs)
ID
C
Sal $ reimb on units w/no EEN wghts
IL
C
$ reimbursement (staff-based)
KS
C
$ Tchr FTE-based reimb, 75% costs>$25,000
MD
C
Equalized cost reimbursement cat aids
ME
C
Cost reimbursement catigorical aids
MN
C
Cost reimbursement catigorical aids
MO
C
Flat Aids: $13,000/Tchr & $3.50/Pupil
MS
C
Tuition reimbursement
MT
C
Cost reimbursement catigorical aids
ND
C
Cost reimb of excess costs via cat aids
NE
C
Cost reimb of excess costs via cat aids
NH
C
80% reim of hi cost prgrms >3.5 Xs state ave.
NV
C
Cost reimb on a per unit basis
PA
C
Flat $/pupil for all pupils, not just EEN
VA
C
Cost reimbursement catigorical aids
VT
C
Block Grant and Cost Reimbursement
WI
C
Cost reimbursement catigorical aids
WY
C
Cost reimbursement to 100% of allow, costs

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