Texas Fact Sheet
Background
State Funding Context
From NCES (most current available statistics):
Pre-K
to 12 Students, 2003-04: 4,331,751
Annual
Public School Expenditures, 2003-04: $30.4
billion
%
Eligible for Free/Reduced Lunch, 2001-02:
45.4
%
in limited-English-proficiency programs,
2001-02: 14.5
| Study Title: |
“Estimating
the Costs of Meeting the Texas Educational
Accountability Standards”
|
| Date Completed: |
May 17, 2004; revised July 9, 2004
|
| Definition of Adequacy: |
The study estimates the cost of a
low level of student achievement,
i.e., an overall average school district
pass rate of 55 percent on state tests.
The study uses three different definitions
of the 55 percent passing rates on
the TAKS exam. The first definition
specifies that for districts with
passing rates between 52 and 55 percent,
researchers estimated the cost of
moving the districts to 55 percent;
for districts below 52 percent, they
estimated the cost of moving the current
rate one-third of the way towards
55 percent, which is a measure of
the annual improvement mandated by
Texas law. The second definition is
the same as the first for schools
below 52 percent, but requires all
other schools (including those above
55 percent) to increase their pass
rates by 3 percent. The third definition
is the same as the second, but requires
those schools with rates below 52
percent to reach the 55 percent standard
in just one year.
|
| Calculated Additional
Costs: |
Between $1.65 and $6.17 billion ($405
- $1,511 per student) to reach 55
percent passing rates, which is 5.9
and 22 percent of total state and
local school expenditures in 2004,
respectively.
Between $2.52 and $10.1 billion ($617
- $2,464 per student) to reach 60-90
percent average district-level passing
rates.
|
| Major Recommendations: |
The authors state that the minimum
amount of money required to meet the
NCLB and Texas accountability standards
varies considerably across districts,
“for reasons that are outside
the control of local school officials”
(21) (The study does not address NCLB’s
100 percent proficiency requirement
for all subgroups by 2014).
The vast majority of the additional
funds that the authors estimate are
necessary are for three of the largest
urban districts in the state: Dallas,
Houston, and Austin, with totals that
vary under different definitions of
the 55 percent passing rates. Meanwhile
the authors suggest that 26 districts
(of the 43 in the study) require no
additional money with the base definition
of a 55 percent average passing rate
and 29 districts require less than
$10 million with a more ambitious
definition of the 55 percent average
passing rate.
The authors explain that the study
substantially underestimates the
costs associated with meeting the
accountability standards for several
reasons, including:
Despite NCLB’s requirement that
all subgroups meet annual performance
targets, the study only accounts for
the costs of meeting average district
passing rates. The study considers
one district as an example in which
the passing rates for blacks, Hispanics,
and economically disadvantaged students
were 7.8, 13.4 and 8.9 percent below
the overall passing rate. The study
does not assign a particular number,
but acknowledges that the costs of
improving the performance of these
subgroups will be considerably higher
than average.
The new TAKS standards for 2005-2006
included, for the first time, standards
for social studies and science exams,
as well as promotional exams in grades
3, 5, 8, and 11. The study again does
not attach a specific number, but
suggests that there will be costs
associated with these standards that
are unaccounted for in the study.
|
| Special Features of the Study: |
Measures. Just prior to the
study, Texas changed its standardized
tests from TAAS (the Texas Annual
Assessment of Skills) to the more
rigorous TAKS (the Texas Assessment
of Knowledge and Skills). Because
TAKS is new, the researchers did not
have two years of test results on
which to base their study. Therefore,
they converted the last two years
of TAAS scores into TAKS scores, using
a schedule developed by the Texas
Education Agency. The authors also
examined: the tests taken by those
students with disabilities who do
not take TAKS; ACT and SAT scores;
and dropout/retention rates.
Value-Added Approach. Researchers
designed the study to measure improvements
in test scores over time, seeking
to find the costs associated with
annual changes in passing rates consistent
with Texas law and the annual yearly
progress called for by NCLB, but only
up to 55 percent average passing rates.
Efficiency. The authors also
used an “efficiency” factor
in estimating the cost of educating
students, ostensibly to isolate those
schools whose higher spending is a
result of an inefficient use of resources.
The study assumes that schools facing
more local competition, e.g. from
private schools, spend more efficiently,
citing research that such schools
have lower spending and better outcomes.
Instead of addressing the issue directly,
the study includes the Herfindahl
index, which is designed to define
counties as local “markets”
for education. Since the index increases
with competition and competition is
correlated with efficiency, the authors
suggest that the index serves as an
appropriate proxy for efficient spending.
|
| Implementation: |
None
|
| Methodology: |
Statistical
Cost Function Model
The goal of this method is
to find the minimum amount of spending
needed in each district to meet the
required standards, given characteristics
of the district. It attempts to do
so by quantifying the relationship
between per-pupil spending and student
standardized test scores, taking into
consideration student characteristics
(such as poverty, limited English
proficiency, disabilities) and characteristics
of school districts (such as size,
rurality, etc.), as well as the prices
school districts must pay for teacher
salaries. This methodology attempts
to account for characteristics out
of a district's control, such as cost
of living, as well as those within
a district's control, such as certain
requirements set by the districts
in hiring teachers. In addition, the
authors use the “efficiency”
factor described above.
|
| Public Input: |
None.
|
| Prepared for: |
Plaintiffs in the West
Orange Cove v. Neeley school
funding litigation
|
| Prepared by: |
Jennifer Imazeki, San Diego State
University ; and Andrew Reschovsky,
University of Wisconsin |
Fact Sheet prepared August, 2006
|