The Foundation School Program (FSP) is comprised of a system of formulas for determining the state and local funding and consists of two tiers. Tier 1 provides the process for funding for the basic allotment. Tier 2 outlines the process by which the guaranteed yield system provides equal access to revenue to support and accredited school program. The FSP exists to support the basic instructional program for the 1,032 school districts in Texas.
Weighted Average Daily Attendance (WADA) is used to measure the student participation in special programs. The intent of the WADA is to provide more money and professionals to work with student in district that have students with specific needs. In the EDLD 5342 Week 2 Lecture, page 1, Dr. Stephens explained that WADA is based on the number of students attending the school district and the type of students attending the school district. Dr. Stephens described this when she explained the weighted funding associated with economically disadvantaged students. Other examples of WADA weighted programs include: special education, Career and Technology Education, bilingual, gifted and talented and compensatory education. Recognizing that students with special needs require additional funding in order provide services, WADA provides funding to insure that the additional costs needed to educate students with special needs is met. However, when looking at the data samples from two districts given in the Week 3 assignment, it is clear that the intent of WADA has not been met. A comparison of the two districts with regard to these weighted programs is as follows:
PROGRAMS AFFECTING WADA | ||
District #1 | District #2 | |
Economically Disadvantaged | 93.3% | 20.7% |
LEP | 48% | 2% |
Special Ed | 9% | 7% |
Bilingual | 41% | 2% |
Vocational Education | 24% | 14% |
G/T | 5% | 4% |
TOTAL REFINED ADA ADJUSTED FOR DECLINE | $3,893.75 | $4,032.98 |
WADA | $5,555.82 | $4,704.08 |
WADA calculation is a component of FSP Tier 1 and is a complicated calculation. (Coalition to Invest in Texas Schools, 2010). A schools district’s WADA will be greater than its Average Daily Attendance (ADA) because WADA converts all of a school district’s students with their different weights due to their specific needs to a calculated number of regular students required to raise the same amount of Tier 1 revenue. WADA exists to provide a process to convert all of a school district’s students with their different weights to a calculated number of regular students required to raise the same amount of Tier I revenue. The greater the number of students eligible for special entitlements, the greater a school district’s WADA. An equalization feature of the funding formula was created in Chapter 41 of the Texas Education Code (TEC) Chapter 41 put a cap on wealth per WADA, established an equalized wealth level for the school year, and gave districts above this level several methods to either reduce wealth or increase ADA in order to achieve the equalized wealth level. Methods for achieving equalization include: consolidating school districts; consolidating school tax bases; de-annexing and annexing property between school districts; and contracting to educate children in another school district and paying the state for student attendance credits
The largest difference in the WADA weighted programs is in their Economically Disadvantaged populations. The information provided for this assignment shows that District #1 has 93.3% economically disadvantaged while District #2 has only 20.7% economically disadvantaged. This should have a significant impact on WADA; however, it failed to accomplish that goal in this case. After reviewing the snapshots and summary of finances and comparing the percentage of economically disadvantaged students to the number of professional working with economically disadvantaged students, District 1 has 26 fewer professional staff than District 2. This is the inverse of what one would expect to find. District #1 also has significantly larger populations in LEP, Bilingual, and Vocational Education. Although they also have larger Special Education and Gifted and Talented populations, these percentages are only slightly higher. Even though District #1 has a smaller Refined ADA Adjusted for Decline as compared to District #2, their WADA is higher than District #2.
In regards to funding, District 1 has a smaller ADA but a larger WADA. receives more funding from the state, District 1 has a larger number of economically disadvantaged students, minority students, LEP students, Special Education students, Bilingual students, CTE students, and GT students. District 1 receives more funding due to the WADA. Examples include: Compensatory Education Allotment: District 1 $3, 835, 006 compared to District 2 $633,369. In addition, District 1 receives Chapter 46 funds and District 2 do not.
In regards to property values, District 2 has more available funding. The target revenues compare as follows: District 1 $28, 023, 530 compared to District 2 $34, 546, 111. District 2 uses its additional $6. 5 million to provide additional teachers and professional staff. District 1 has 281 while District 2 has 307. This discrepancy is further showcased in the assessment data from the snapshot data. TAKS All Tests Taken: District 1 61% passing and District 2 89% passing. This difference exists in all subject areas and grade levels tested and when analyzing the SAT and ACT test statistics.
When reviewing the different programs funded under M&O you find many differences between the 2 districts and many similarities. Regular program allotment in both districts are right around 20 million. Knowing that both districts have nearly the exact same enrollment this is a positive relationship between the districts. There is also a similarity between the districts concerning the Special Education Adjusted Allotment. District 1 has 9% Special Ed. population and allocated 1.9 million in funding where district 2 has 7% Special Ed. Population and allocated 1.6 million in funding. Both districts are in alignment with each other on percentage of students in Special Education related to funding allotment.
When reviewing the different programs funded under M&O you find many differences between the 2 districts and many similarities. Regular program allotment in both districts are right around 20 million. Knowing that both districts have nearly the exact same enrollment this is a positive relationship between the districts. There is also a similarity between the districts concerning the Special Education Adjusted Allotment. District 1 has 9% Special Ed. population and allocated 1.9 million in funding where district 2 has 7% Special Ed. Population and allocated 1.6 million in funding. Both districts are in alignment with each other on percentage of students in Special Education related to funding allotment.
When reviewing the different programs funded under M&O, there exist similarities and differences.
Similarities | Differences |
Regular allotments in both districts approximate $20 million (based on ADA) | Career and Technology Education higher in District 1 |
Similar enrollment numbers | Compensatory Education Allotment higher in District 1 |
Similar Special Education Adjusted Allotment due to similar SPED percentages | Transportation funding higher in District 2 |
Similar High School Allotment funds (associated with ADA) | Larger Bilingual population in District 1 |
Lastly, neither school district shows funding allocated to the following: Instructional Facilities Allotment, Virtual School Allotment, and Public Education Grant.
Upon review of each of the districts' basic statistics, there exists the potential for both are positive and negative impacts on their programs. The table below outlines these.
Positive Impact | Negative Impact | ||
District 1 | District 2 | District 1 | District 2 |
an increase in property values | money to provide adequate supplies, materials, and staff | low property values | a budget based on significant increases that were not realized |
increase in student enrollment | decreased property values |
District 1 would realize a positive impact if there would be an increase in property values or an increase in student enrollment. This could result in additional revenue that would provide increased M & O funding. However, if property values diminished in District 1 the result could result in a dependence on the WADA , state and federal allotments to finance the school operations. District 2 seems to be the stronger of the two with regard to finances. They have a surplus of money provided through their compressed WADA funding to provide adequate supplies, material and staff. However, if a budget was adopted that was based on increases that were not realized this would have a negative impact on the district. Examples include: 1) Forecasting a growth in student attendance when in actuality a decline occurs or a decrease in property values. Both scenarios could result in the district needing to use its fund balance for the day to day operation of the district.
REFERENCES
Coalition to Invest in Texas Schools (2010). School funding 101 – glossary
Lamar University Course EDLD 5342 School Finance. Week 2 Lecture Notes. April, 2011.
Texas Education Agency (January, 2011). School Finance 101: Funding of Texas Public Schools.