School Facilities
Physical Conditions in School Districts Receiving Impact Aid for Students Residing on Indian Lands
Gao ID: GAO-10-32 October 29, 2009
State and local governments spend billions of dollars annually on the construction, renovation, and maintenance of public school facilities, yet concerns persist about the condition of some school facilities, particularly in school districts serving students residing on Indian lands. The Department of Education's (Education) Impact Aid Program provides funding to school districts that are adversely impacted by a lack of local revenue because of the presence of federal land, which is exempt from local property taxes. Impact Aid can be used for school expenses, such as facilities and teacher salaries. In response to concern about school facility conditions and concern that these conditions can affect student outcomes, GAO was asked to describe (1) the physical condition of schools in districts receiving Impact Aid because of students residing on Indian lands and (2) what is known about how school facilities affect student outcomes. GAO interviewed federal, state, and local officials; analyzed available independent school facility assessment data for three states; visited eight school districts that receive Impact Aid; and analyzed studies examining the relationship between school facilities and student outcomes. GAO is not making recommendations in this report. Education provided technical clarifications, which GAO incorporated as appropriate.
Limited nationwide data are available about the physical condition of public school facilities in school districts that receive Impact Aid funding for students living on Indian lands, although data from three states indicate the conditions range from good to poor. Montana's assessment data showed that the majority (39 of 60) of Indian Impact Aid school districts had facilities in good condition. New Mexico's data showed that all 19 Indian Impact Aid school districts had facilities in either good or fair condition. Washington's data--based on assessments from 9 of 29 Indian Impact Aid school districts--indicated about half (4 of 9) of the Indian Impact Aid school districts had facilities in fair condition and about half (5 of 9) had facilities in poor condition. Facility assessments are not comparable across states. School district officials from 8 districts told GAO their facility conditions are affected by factors such as fiscal capacity, the age of buildings, and remote locations. The research studies GAO reviewed on the relationship between the condition of school facilities and student outcomes often indicated that better facilities were associated with better student outcomes, but there is not necessarily a direct causal relationship and the associations were often weak compared with those of other factors, such as the prevalence of poverty or other student characteristics. A majority of the studies GAO reviewed indicated that better school facilities were associated with better student outcomes--such as higher scores on achievement tests or higher student attendance rates. Most of the studies measured the extent to which better school facilities were associated with better outcomes, after taking into account the impact of other factors. None of the studies examined was able to conclusively determine how much school facility conditions contribute to student outcomes relative to other factors, such as student demographics, and none proved a causal relationship between school facilities and student outcomes.
GAO-10-32, School Facilities: Physical Conditions in School Districts Receiving Impact Aid for Students Residing on Indian Lands
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Report to the Chairman, Committee on Indian Affairs, U.S. Senate:
United States Government Accountability Office:
GAO:
October 2009:
School Facilities:
Physical Conditions in School Districts Receiving Impact Aid for
Students Residing on Indian Lands:
GAO-10-32:
GAO Highlights:
Highlights of GAO-10-32, a report to the Chairman, Committee on Indian
Affairs, U.S. Senate.
Why GAO Did This Study:
State and local governments spend billions of dollars annually on the
construction, renovation, and maintenance of public school facilities,
yet concerns persist about the condition of some school facilities,
particularly in school districts serving students residing on Indian
lands. The Department of Education‘s (Education) Impact Aid Program
provides funding to school districts that are adversely impacted by a
lack of local revenue because of the presence of federal land, which is
exempt from local property taxes. Impact Aid can be used for school
expenses, such as facilities and teacher salaries.
In response to concern about school facility conditions and concern
that these conditions can affect student outcomes, GAO was asked to
describe (1) the physical condition of schools in districts receiving
Impact Aid because of students residing on Indian lands and (2) what is
known about how school facilities affect student outcomes. GAO
interviewed federal, state, and local officials; analyzed available
independent school facility assessment data for three states; visited
eight school districts that receive Impact Aid; and analyzed studies
examining the relationship between school facilities and student
outcomes.
GAO is not making recommendations in this report. Education provided
technical clarifications, which GAO incorporated as appropriate.
What GAO Found:
Limited nationwide data are available about the physical condition of
public school facilities in school districts that receive Impact Aid
funding for students living on Indian lands, although data from three
states indicate the conditions range from good to poor. Montana‘s
assessment data showed that the majority (39 of 60) of Indian Impact
Aid school districts had facilities in good condition. New Mexico‘s
data showed that all 19 Indian Impact Aid school districts had
facilities in either good or fair condition. Washington‘s data”based on
assessments from 9 of 29 Indian Impact Aid school districts”indicated
about half (4 of 9) of the Indian Impact Aid school districts had
facilities in fair condition and about half (5 of 9) had facilities in
poor condition. Facility assessments are not comparable across states.
School district officials from 8 districts told GAO their facility
conditions are affected by factors such as fiscal capacity, the age of
buildings, and remote locations.
The research studies GAO reviewed on the relationship between the
condition of school facilities and student outcomes often indicated
that better facilities were associated with better student outcomes,
but there is not necessarily a direct causal relationship and the
associations were often weak compared with those of other factors, such
as the prevalence of poverty or other student characteristics. A
majority of the studies GAO reviewed indicated that better school
facilities were associated with better student outcomes”such as higher
scores on achievement tests or higher student attendance rates. Most of
the studies measured the extent to which better school facilities were
associated with better outcomes, after taking into account the impact
of other factors. None of the studies examined was able to conclusively
determine how much school facility conditions contribute to student
outcomes relative to other factors, such as student demographics, and
none proved a causal relationship between school facilities and student
outcomes.
Figure: States with School Districts That Received Impact Aid for
Students Residing on Indian Lands in 2008:
[Refer to PDF for image: map of the United States]
Twenty-seven states that received Indian Impact Aid funds in 2008:
Alaska;
Arizona;
California;
Colorado;
Florida;
Idaho;
Iowa;
Kansas;
Maine;
Massachusetts;
Michigan;
Minnesota;
Mississippi;
Montana;
Nebraska;
Nevada;
New Mexico;
North Carolina;
North Dakota;
Oklahoma;
Oregon;
South Dakota;
Texas;
Utah;
Washington;
Wisconsin;
Wyoming.
Eleven of those states had at least 15 Indian Impact Aid school
districts:
Alaska;
Arizona;
California;
Minnesota;
Montana;
New Mexico;
North Dakota;
Oklahoma;
South Dakota;
Wisconsin;
Washington.
Three of these states had independent school facility assessment data:
Montana;
New Mexico;
Washington.
Source: GAO analysis of Department of Education data.
[End of figure]
View [hyperlink, http://www.gao.gov/products/GAO-10-32] or key
components. For more information, contact Cornelia Ashby at (202) 512-
7215 or ashbyc@gao.gov.
[End of section]
Contents:
Letter:
Background:
Little Information Is Available on the Condition of School Facilities
in Districts That Receive Impact Aid for Students Living on Indian
Lands, but Data from Selected States Indicate Conditions Ranged from
Good to Poor:
Some Research Suggests That Better School Facilities Are Associated
with Better Student Outcomes, and School District Officials Agreed, but
There Is Little Evidence of a Causal Relationship:
Agency Comments:
Appendix I: Objectives, Scope, and Methodology:
Appendix II: List of School Districts That Received Indian Impact Aid
in Fiscal Year 2009:
Appendix III: Examples of Studies Examining School Facilities and
Student Outcomes:
Appendix IV: GAO Contacts and Staff Acknowledgments:
Tables:
Table 1: Eleven States with Large Numbers of Indian Impact Aid School
Districts in 2008:
Table 2: Characteristics of Site Visit School Districts:
Table 3: Number of Selected Research Studies on Selected Facility and
Student Outcome Variables:
Table 4: States with School Districts Receiving Impact Aid for Students
Residing on Indian Lands, Fiscal Year 2009 (as of August 2009):
Table 5: Examples of Studies on Broad Measures of School Facilities and
Student Achievement:
Table 6: Examples of Other Studies on School Facilities and Student
Outcomes.
Figures:
Figure 1: Condition of School Facilities in Montana's Indian Impact Aid
and Other School Districts:
Figure 2: Condition of School Facilities in New Mexico's Indian Impact
Aid and Other School Districts:
Figure 3: Examples of Old and New School Heating Systems in One Montana
School District:
Abbreviations:
ESEA: Elementary and Secondary Education Act of 1965:
FCI: facility condition index:
HVAC: heating, ventilation, and air conditioning:
NCES: National Center for Education Statistics:
NCLBA: No Child Left Behind Act of 2001:
NMCI: New Mexico condition index:
[End of section]
United States Government Accountability Office:
Washington, DC 20548:
October 29, 2009:
The Honorable Byron L. Dorgan:
Chairman:
Committee on Indian Affairs:
United States Senate:
Dear Mr. Chairman:
State and local governments spend billions of dollars annually on the
construction, renovation, and maintenance of public school facilities.
However, concerns persist about the conditions of some school
facilities, particularly those located near Indian lands. This is
because Indian students often attend schools in rural areas with higher
levels of poverty, and compared with other students often have poorer
educational outcomes, such as lower scores on standardized tests and
lower graduation rates. (In this report, we refer to American Indians
and Alaska Natives as Indians.) Some education experts believe the
condition of public school facilities can affect student outcomes, and
numerous studies have attempted to document possible associations. To
maintain and build public school facilities, school districts generally
rely on their local tax base. Some school districts have limited access
to this source of revenue because a portion of the nearby land is owned
by the federal government, which is exempt from local property taxes.
Although funding for school operations and construction is primarily
considered a state and local issue, the Congress established the Impact
Aid Program in 1950 to provide funding to school districts that are
adversely impacted by a lack of local revenue because of the presence
of federal land. Under the Impact Aid basic support program, the
Department of Education (Education) awards funding to school districts
generally on the basis of the number of federally connected students
they serve, such as those students residing on Indian lands or military
bases or who have parents in the military or who work on federal lands.
[Footnote 1] In 2008, Congress provided $1.1 billion for basic
educational expenses under the Impact Aid program. Education
distributed these funds to about 1,200 school districts, with about
half of the funds going to Impact Aid school districts that have
students residing on Indian lands.
In response to your request that we describe the condition of
facilities in school districts that receive Impact Aid for students
residing on Indian lands, this report addresses the following questions:
1. What information is available on the physical condition of
facilities in school districts that receive federal Impact Aid due to
students residing on Indian lands?
2. What is known about how school facilities affect student outcomes?
To determine what information is available about the physical condition
of school facilities in Indian Impact Aid school districts, we
contacted officials from state and federal agencies and reviewed
relevant federal laws and regulations.[Footnote 2], [Footnote 3] We
also analyzed national state-level data on student populations residing
on Indian lands and contacted the 11 states with a large number of
Indian Impact Aid school districts (at least 15 districts). We obtained
data from 4 states that indicated they had independent assessment data
about the condition of or deficiencies in some or all of their public
schools. We only accepted assessment data that were prepared by an
independent party with no apparent vested interest in the results of
the assessment. We analyzed the states' data to describe the condition
of school facilities for all of the Indian Impact Aid and other school
districts in Montana and New Mexico and the 118 of 295 districts in
Washington for which data were available (9 of 29 Indian Impact Aid and
109 of 266 other school districts). We determined that the data were
sufficiently reliable for the analyses used for this report. Although
the 4th state, Arizona, also had independent assessment data, it
identified deficiencies rather than the overall condition of school
facilities, so we did not use the data, but we did include Arizona in
site visits. The 3 states from which we had usable assessment data
represented approximately 27 percent of all students residing on Indian
lands. In addition, we visited 2 school districts in each of the 4
states to obtain school district officials' perspectives on factors
that affect facility maintenance and to observe their facilities. To
determine what is known about how the condition of school facilities
affects student outcomes, we conducted a literature search for studies
that quantitatively analyzed relationships between school facility
variables and a variety of student outcomes, such as student
achievement test scores and student attendance rates. We selected a set
of 24 studies--those in peer-reviewed journals and others that our
methodologists regarded as sufficiently rigorous--and systematically
reviewed these studies. (See app. I for a description of our selection
criteria.) We also discussed the effects of the condition of school
facilities on students and teachers during our 8 school district site
visits and in interviews with representatives of Indian Impact Aid
associations and state Indian Education officials.
We conducted our work from September 2008 to October 2009 in accordance
with all sections of GAO's Quality Assurance Framework that are
relevant to our objectives. The framework requires that we plan and
perform the engagement to obtain sufficient and appropriate evidence to
meet our stated objectives and to discuss any limitations in our work.
We believe that the information and data obtained, and the analysis
conducted, provide a reasonable basis for any findings in this product.
See appendix I for further information on our scope and methodology,
appendix II for a list of states with Indian Impact Aid school
districts, and appendix III for a summary of studies on school
facilities and student outcomes.
Background:
Role of the Federal Government in Public Elementary and Secondary
Education:
Public elementary and secondary education is primarily a state and
local government responsibility, although the federal government
provides supplementary funds to public schools for a variety of
purposes, including grants for disadvantaged students, special
education students, and teacher improvement. The federal government
provided about 8 percent of funding for public education in school year
2005-2006. The allocation of federal funds reflects a concern with
student outcomes as evidenced by the Elementary and Secondary Education
Act of 1965, as amended, which has the goal of ensuring that all
children have a fair, equal, and significant opportunity to obtain a
high-quality education. The No Child Left Behind Act of 2001 (NCLBA),
which reauthorized and amended ESEA, requires school districts to make
improvements when they fail to make adequate yearly progress in raising
student achievement.
The federal government has historically provided for the education of
Indian children in part through the Department of the Interior's Bureau
of Indian Affairs. Interior's Bureau of Indian Education, previously a
part of the Bureau of Indian Affairs, funds 170 schools serving
students living on Indian lands; however, most Indian students now
attend public schools. In some cases, these schools and Indian Impact
Aid schools are in the same communities, and students may transfer from
one to the other.[Footnote 4] Among some 580,000 Indian children who
attend public elementary and secondary schools in the United States,
about one-third of them are enrolled in Indian Impact Aid school
districts. An estimated 45,000 Indian students attend Bureau of Indian
Education schools. The remaining Indian children attend other public
schools or private schools.
Impact Aid Program:
Congress established the Impact Aid program in 1950 to assist public
school districts that have lost property tax revenue due to the
presence of tax-exempt federal property, or that have experienced
increased costs due to the enrollment of federally connected children,
including children living on Indian lands, military bases, or other
federal lands for which school districts receive no tax revenue. Public
school districts qualify for and receive Impact Aid, in part, on the
basis of the number of federally connected students they serve, such as
those who reside on military bases, Indian lands, or other federal
lands, or others who have parents in the military or who work on
federal lands.[Footnote 5]
The largest component of the Impact Aid program is basic support
payments, which provided about $1 billion for fiscal year 2008 to about
1,200 public school districts,[Footnote 6] including about $520 million
to 567 Indian Impact Aid school districts for students living on Indian
lands in 27 states.[Footnote 7] (See app. II for preliminary fiscal
year 2009 data.)
School districts eligible for Impact Aid decide how to use these funds.
[Footnote 8] For example, they may use these funds for costs associated
with teacher salaries and benefits; transportation; textbooks; and
facility maintenance, repair, renovation, and construction. Some
districts also hold a portion of these funds in reserve for use in
future years. To be eligible for basic support payments for having
students living on Indian lands, a school district must have at least
400 federally connected students, or these students must comprise at
least 3 percent of their total number of students. The method for
determining Indian Impact Aid basic support payments provides more
funding per federally connected student in school districts where these
students are a larger share of the total number of students and the
basic support payments represent a larger share of current school
district expenditures.[Footnote 9] For Indian Impact Aid school
districts, the average amount of this basic support per student living
on Indian lands was $4,534 in fiscal year 2008. After adjusting for
inflation, this average rose 7 percent from fiscal years 2002 to 2005
and has subsequently fallen back to about fiscal year 2002 levels.
The Impact Aid program also includes funding for construction, through
both a formula grant program and a competitive grant program for school
districts with high percentages of children living on Indian lands or
high percentages of children who have a parent on active military duty.
Congress provided about $17.8 million to the formula grant program in
both fiscal years 2006 and 2007, but no funding for fiscal years 2008
or 2009. Formula grants are restricted to Impact Aid school districts
with at least 50 percent of students living on Indian land or at least
50 percent of students who have a parent on active military duty. The
competitive construction grant program did not receive any funding in
fiscal years 2006 or 2007, but received approximately $17 million for
fiscal years 2008 and 2009. These grants are for school facility
emergencies and modernization and are restricted to school districts
with at least 40 percent of students living on Indian lands or at least
40 percent of students who have a parent on active military duty. The
competitive grant program to date has provided funding only for
emergency repairs. In July 2009, this program awarded grants from the
fiscal year 2008 appropriation--totaling about $17 million--to 13
Indian Impact Aid school districts.[Footnote 10] The American Recovery
and Reinvestment Act of 2009 (Recovery Act) appropriated $100 million
for construction projects by Impact Aid school districts.[Footnote 11]
The Recovery Act requires that Education provide nearly $40 million of
this appropriation as formula grants and nearly $60 million as
competitive grants. The Recovery Act also provides a $53.6 billion
State Fiscal Stabilization Fund, some of which may be available to
provide funding to school districts, including Indian Impact Aid school
districts, for a variety of purposes (e.g., modernizing, renovating, or
repairing public school facilities).[Footnote 12]
Assessing Facility Conditions:
Building and maintaining sound school facilities is important not only
to provide a safe and healthy learning environment, but to avoid costly
repairs or replacements. Facility managers who routinely assess the
condition of their facilities can identify problems at their earliest
stages and evaluate buildings for future maintenance and repair needs.
Facility assessments take a variety of forms, from staff walking
through a facility and visually inspecting its condition and
identifying repair and maintenance issues to a more comprehensive
assessment in which individual building systems, such as electrical,
heating, and air conditioning, are assessed by a professional inspector
and deficiencies are identified. To compare the relative condition of
facilities, assessors often use a "facility condition index" (FCI),
which is computed as the cost of repairing or replacing parts of the
facility that are identified as deficient divided by the cost of
replacing the entire facility. FCIs are useful in comparing the
relative condition of facilities only if they are calculated using a
consistent methodology. A lower FCI indicates a facility in better
condition. In some cases, assessments of school facilities also include
estimates of the costs for projects that do not specifically address a
facility deficiency. These may include projects for bringing facilities
into compliance with current building codes that the school was not
required to meet when built; providing additional space in schools that
are overcrowded; or providing equipment to meet the school's needs,
such as a science lab facility.
Little Information Is Available on the Condition of School Facilities
in Districts That Receive Impact Aid for Students Living on Indian
Lands, but Data from Selected States Indicate Conditions Ranged from
Good to Poor:
Limited independent information is available about the physical
condition of public school facilities that receive Impact Aid funding
for students living on Indian lands. However, three states--Montana,
New Mexico, and Washington--have collected independent school facility
assessments for some or all of their Indian Impact Aid school
districts. Assessment data from these states indicate that the
condition of Indian Impact Aid school facilities varies within states
and ranges from good to poor. School district officials with whom we
spoke attributed the condition of their school facilities to a number
of factors, including age and remote location.
Limited Information Is Available at the National Level about the
Condition of School Facilities in Indian Impact Aid School Districts:
We did not find independent nationwide data about the condition of
school facilities in Indian Impact Aid school districts. Education and
its research entity have collected some information regarding the
physical condition of school facilities, but none of this information
was based on independent assessments of school facilities and none
covered all Indian Impact Aid school districts. According to federal
officials with whom we spoke:
* Education collects information on the condition of Indian Impact Aid
schools from surveys it receives from school districts that are awarded
construction formula grants. School districts that received
construction payments in the prior year are required to complete a
brief survey as part of the Impact Aid application in which they rank
the overall condition of their school facilities on a scale of 1
(excellent) to 6 (replace). From its 2008 application, Education
collected surveys from 181 school districts, of which 31 percent
indicated their facilities were in good to excellent condition; 54
percent indicated adequate to fair condition; and 15 percent indicated
poor condition or in need of replacement. However, Education does not
independently verify the responses or use this information in awarding
grants, and the number of respondents represents only a small portion
of the approximately 1,200 Impact Aid school districts that received
Impact Aid basic support funding in 2008.
* In 2007, Education's National Center for Education Statistics (NCES)
surveyed a nationally representative sample of 1,205 public schools
about their school's condition.[Footnote 13], [Footnote 14] School
principals completing the questionnaire were asked about the quality of
their schools, including their satisfaction with the physical condition
of their buildings. Eighty-three percent of the principals were
satisfied or very satisfied with the physical condition of their
permanent buildings. However, due to the small sample size, we were not
able to obtain statistically meaningful responses for Indian Impact Aid
schools. In addition, NCES did not independently verify the survey
responses that were provided by school principals.
Three States Collect Independent Assessments on the Condition of School
Facilities at Indian Impact Aid School Districts:
Among states with large numbers of Indian Impact Aid school districts
(at least 15 districts), only Montana, New Mexico, and Washington had
independent information about the condition of school facilities in
some or all Indian Impact Aid school districts. These 3 states
represented approximately 27 percent of all students living on Indian
lands. The other states with large numbers of Indian Impact Aid school
districts (8 of 11) had no independent information about the physical
condition of the school facilities in their school districts (see table
1.) For example, Alaska requires districts to assess their own
facilities and submit condition assessment reports to apply for state
maintenance and construction grants. However, the data Alaska collects
about school condition are not independently verified by the state.
Arizona began independently assessing school facilities in 2004 as part
of its public school assessment program to ensure that schools meet
state minimum condition standards. Arizona has collected information on
variables related to facilities, including the number, type, and size
of buildings and whether the school site, equipment, and building
systems meet the state's adequacy standards. While these data can be
used to identify deficiencies, they do not provide an overall
assessment of whether the school facilities are in good, fair, or poor
condition.
Table 1: Eleven States with Large Numbers of Indian Impact Aid School
Districts in 2008:
State: Alaska;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 34;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 12,114;
Percentage of national total of Indian lands students served by Impact
Aid: 10.57%.
State: Arizona;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 58;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 30,383;
Percentage of national total of Indian lands students served by Impact
Aid: 26.52.
State: California;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 35;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 4,897;
Percentage of national total of Indian lands students served by Impact
Aid: 4.27.
State: Minnesota; Number of school districts receiving Impact Aid for
having students who live on Indian lands: 23;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 3,530;
Percentage of national total of Indian lands students served by Impact
Aid: 3.08.
State: Montana; Number of school districts receiving Impact Aid for
having students who live on Indian lands: 61;
State collects independent assessments of the condition of school
facilities: Yes;
Number of Indian lands students on the basis of average daily
attendance: 7,434;
Percentage of national total of Indian lands students served by Impact
Aid: 6.49.
State: New Mexico;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 19;
State collects independent assessments of the condition of school
facilities: Yes;
Number of Indian lands students on the basis of average daily
attendance: 18,294;
Percentage of national total of Indian lands students served by Impact
Aid: 15.97.
State: North Dakota;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 17;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 2,346;
Percentage of national total of Indian lands students served by Impact
Aid: 2.05.
State: Oklahoma;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 194;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 10,610;
Percentage of national total of Indian lands students served by Impact
Aid: 9.26.
State: South Dakota; Number of school districts receiving Impact Aid
for having students who live on Indian lands: 26;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 5,839;
Percentage of national total of Indian lands students served by Impact
Aid: 5.10.
State: Washington;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 29;
State collects independent assessments of the condition of school
facilities: Yes;
Number of Indian lands students on the basis of average daily
attendance: 5,686;
Percentage of national total of Indian lands students served by Impact
Aid: 4.96.
State: Wisconsin;
Number of school districts receiving Impact Aid for having students who
live on Indian lands: 17;
State collects independent assessments of the condition of school
facilities: No;
Number of Indian lands students on the basis of average daily
attendance: 3,273;
Percentage of national total of Indian lands students served by Impact
Aid: 2.86.
Source: GAO analysis of Department of Education and state data.
[End of table]
The facility assessment programs in Montana, New Mexico, and Washington
are unique in terms of their purpose, frequency of assessment, number
of districts assessed, and data collected.
* In 2005, Montana's legislature authorized the appropriation of funds
for a one-time condition and needs assessment for all K-12 public
schools. This occurred in 2008 when Montana assessed school facilities
in its 422 public school districts using a facility condition
assessment approach that involved inspecting various school building
components, identifying the observable deficiencies, and estimating the
costs to repair the deficiencies and replace the entire facility.
Montana inspected 11 building systems for each facility, including the
HVAC system (heating, ventilation, and air conditioning); electrical
system; plumbing system; foundations; exterior sidings; floor systems;
roof systems; interior finishes (walls, floors, and windows); special
fixtures (cabinets, chalkboards, and fixed seating); conveying systems
(elevators); and fire and building code systems (fire detection and
suppression, and building accessibility). Montana's inspections
resulted in an FCI value for each school district based on assessments
of all of the facilities in the school district. Montana's FCI used a
scale of 0 to 100 percent and the higher the percentage, the closer the
cost of the repairs were to the cost of a new facility. Montana
considers school facilities with FCIs from 0 to 9 percent to be in good
condition, FCIs from 10 to 19 percent to be in fair condition, and FCIs
of 20 percent and greater to be in poor condition. Facilities with FCIs
greater than 50 percent are considered to be experiencing such levels
of fatigue that the merits of reinvestment in the existing structure
should be carefully considered.
* New Mexico created a facility assessment program that required it to
evaluate the capital needs of every school facility in the state, rank
all 789 public schools in terms of needed capital improvements, and
prioritize funding on an annual basis for those public school
facilities most in need of repair. This program enables it to optimize
the allocation of limited resources. In 2003, New Mexico assessed all K-
12 public school facilities and developed the New Mexico condition
index (NMCI) that measures both the physical condition and the adequacy
of a school facility against New Mexico's adequacy standards. Facility
assessments include evaluations of eight building systems, including
site utilities; structural systems (foundations, exterior walls, doors,
and roof); interior systems (walls, ceilings, and floors); mechanical
and plumbing systems, electrical systems; building and fire code
systems (accessibility and fire detection suppression); equipment (gym
equipment and technology); and special fixtures (cabinets and chalk
boards). The NMCI incorporates weighting factors for specific
deficiencies, such as conditions that present health or safety threats,
inadequate space, and inadequate equipment. In addition, New Mexico's
assessment process includes a life-cycle analysis that takes into
consideration whether a building system is within or beyond its
recommended life. New Mexico updates the facility condition data when
it completes new assessments of facilities, receives new data from
school construction applications, or receives information from the life-
cycle analysis. Each year, New Mexico uses the NMCI to rank the schools
from the highest score (indicating those most in need of repair or
replacement) to the lowest score and typically provides funding for the
100 schools most in need of capital improvement.
* Washington collects building condition evaluations from school
districts that apply for a study and survey grant. This state program
provides school districts with funds to complete a long-range planning
document, which is a prerequisite for state school construction
assistance and includes an independent evaluation of school facilities.
Washington provided the evaluation information to us for the 118 school
districts that have submitted building evaluations since 2003,
including 9 evaluations from Indian Impact Aid school districts and 109
from other school districts, from a total of 295 school districts
statewide. School districts may apply for a study and survey grant once
every 6 years. As a part of the process to complete the building
condition evaluation form, the building inspector scores the condition
of various components of a building's exterior system (foundation,
wall, and roof); interior system (floor, wall, and ceiling); mechanical
system (electrical, plumbing, and HVAC); and safety and building code
system (fire alarm and detection, and emergency lighting). Each
building component is awarded points based on its assessed condition.
For example, if the inspector determines the exterior walls of the
facility to be in good condition, a total of 8 points can be awarded
compared with a total of 2 points that can be awarded if the exterior
doors and windows are determined to be in good condition. The component
scores are summed to create the buildings' evaluation score, which can
range from 0 to 100 points. The building evaluation scores can provide
relative information about the condition of different facilities, but
they differ from FCI calculations because they do not include an
estimate of the repair and replacement costs. According to state
officials, the building evaluation scores are used in the process for
prioritizing school districts for funding. The scores are not used to
categorize school districts in terms of the condition of their
facilities. However, the evaluations of several school districts in
Washington conducted by one consultant included a scoring table that
associated different building scores to different levels of condition.
Based on this table, a score of 90 to 100 indicates good condition, a
score of 60 to 89 indicates fair condition, a score of 30 to 59
indicates poor condition, and a score of 0 to 29 indicates
unsatisfactory condition.
Montana, New Mexico, and Washington each measure facility condition
differently, and, as a result, we are not able to make comparisons
about school condition among the states. For example, Montana
calculated FCIs on the basis of the condition of 11 building systems,
while New Mexico calculated FCIs on the basis of 8 building systems.
Washington's school facility evaluations use a 0 to 100 point scale,
rather than an FCI calculation. Since each state applied the same
method for all schools within the state, we are able to compare
districts within states.
Data from 3 States Indicated Condition of School Facilities at Indian
Impact Aid School Districts Ranged from Good to Poor:
Montana:
Montana's assessment data showed that most of its Indian Impact Aid
school districts' facilities were in good condition, although a larger
proportion of other school districts--that is, those that do not
receive Impact Aid for students residing on Indian lands--had
facilities in good condition. (See figure 1.)
Figure 1: Condition of School Facilities in Montana's Indian Impact Aid
and Other School Districts:
[Refer to PDF for image: two pie-charts]
Indian Impact Aid school districts (60 total):
Good: 65% (39 districts);
Fair: 28% (17 districts);
Poor: 7% (4 districts).
Other school districts (362 total):
Good: 79% (286 districts);
Fair: 18% (66 districts);
Poor: 3% (10 districts).
Source: GAO analysis of Montana data.
Note: The number of Indian Impact Aid school districts and other school
districts is based on 2008 data from the Department of Education, the
most recent data available at the time of this analysis.
[End of figure]
Montana's data indicated that most of the school facilities' building
systems were in good condition. For example, 75 to 100 percent of the
Indian Impact Aid school districts had roof systems, HVAC systems,
plumbing systems, building foundations, and floor systems that were in
good condition. The data were similar for the other school districts.
On the other hand, the assessment data indicated that about one-half of
the Indian Impact Aid and other school districts had fire and building
code systems and about one-quarter had electrical systems that were in
poor condition. The biggest difference between the Indian Impact Aid
and other school districts was the condition of their interior
finishes, with respective rates of 50 percent and 78 percent that were
in good condition, 30 percent and 13 percent that were in fair
condition, and 20 percent and 9 percent that were in poor condition.
New Mexico:
New Mexico uses its facility assessment information and the NMCI to
rank its schools relative to their capital needs and does not define
specific NMCI levels that would correlate to schools being considered
in good, fair, or poor condition. According to a New Mexico official,
excluding the equipment and special fixtures systems and the weighting
factors from New Mexico's assessment data would result in a more
traditional FCI.[Footnote 15] After making these adjustments, the
analysis of New Mexico's data indicated that all of the Indian Impact
Aid school districts had facilities that were in either good or fair
condition. The data were similar for New Mexico's other school
districts with 84 percent having facilities that were in good or fair
condition. None of the Indian Impact Aid and less than a fifth of the
other school districts had facilities that were in poor condition. (See
figure 2.)
Figure 2: Condition of School Facilities in New Mexico's Indian Impact
Aid and Other School Districts:
[Refer to PDF for image: two pie-charts]
Indian Impact Aid school districts (19 total):
Good: 48% (9 districts);
Fair: 53% (10 districts).
Other school districts (70 total):
Good: 39% (27 districts);
Fair: 46% (32 districts);
Poor: 16% (11 districts).
Source: GAO analysis of New Mexico data.
Note: The number of Indian Impact Aid school districts and other school
districts is based on 2008 data from the Department of Education, the
most recent data available at the time of this analysis. Also, totals
may not add to 100 percent because of rounding.
[End of figure]
According to New Mexico's data, most Indian Impact Aid and other school
districts had building systems that were in good to fair condition. The
school districts' structural systems were in the best shape overall--95
percent of the Indian Impact Aid and about 87 percent of the other
school districts had structural systems that were in good condition.
New Mexico's data showed that at least one-half of the Indian Impact
Aid school districts had electrical systems that were in good
condition, while at least one-half of both types of school districts
had building and fire code systems that were in good condition.
Although about one-half of the Indian Impact Aid and other school
districts had site utility systems that were in good condition, this
was also the building category with the highest proportion of districts
that were in the poor condition category. For the remaining two
building systems, New Mexico's data indicated that about one-quarter of
the Indian Impact Aid and other school districts had mechanical and
plumbing systems that were in good condition and one-third of the
Indian Impact Aid and one-quarter of the other school districts had
interior systems that were in good condition.
Washington:
Washington's data were based on evaluations from 118 of 295 school
districts, including 9 of 29 Indian Impact Aid school districts and 109
of 266 other school districts.[Footnote 16] As we have previously
discussed, Washington does not categorize school districts in terms of
their condition, but one consultant has associated the building scores
with different levels of condition. For our analysis, we used this
consultant's scoring table to categorize the school districts'
facilities as being in good, fair, or poor condition. Based on this
scoring table, the state's data showed that 4 Indian Impact Aid school
districts were in fair condition and 5 were in poor condition. The data
indicated that none of the Indian Impact Aid districts were in good
condition. The data showed that 2 percent (2) of the other 109 school
districts were in good condition, 55 percent (60) were in fair
condition, and 43 percent (47) were in poor condition.[Footnote 17]
Washington's data indicated that none of the 9 Indian Impact Aid school
districts and about 14 percent of the other school districts had
building systems in good condition. Washington's data showed 5 to 7 of
the 9 Indian Impact Aid school districts had exterior building systems,
interior building systems, and safety and building code systems that
were in fair condition and 6 districts had mechanical systems that were
in poor condition. The data were less clear-cut for the 109 other
school districts, although they showed that almost two-thirds (67) of
these districts had mechanical systems that were in poor condition and
almost three-fourths (81) had exterior systems that were in fair
condition.
School District Officials Identified Several Factors That Contribute to
Facility Conditions, Including Fiscal Capacity, Age, and Location:
While localities often rely on issuing bonds to raise funds for school
renovations and new construction, the officials at most of the school
districts we visited commented that their restricted tax base impacts
their ability to issue bonds. Officials in one New Mexico school
district said that they were able to secure a limited level of bonding
on the basis of expected Impact Aid funds. Most officials said that
they are unable to issue bonds because so few property owners pay
taxes, which is a source of revenue to repay the bonds. Some officials
said they accumulate funds over time for a reserve to pay for emergency
repairs and larger maintenance and major capital improvement projects.
These officials said that Impact Aid is critical to their ability to
accumulate such funds. According to officials in one Arizona school
district, Impact Aid funds made it possible for the district to
accumulate several million dollars that it plans to spend in 2010 on
building improvements (e.g., upgrading windows) and digging a water
well. At one school district in Montana, officials said that they
maintain an emergency fund because without such a reserve, a major
problem with a facility could cause a school to be closed.
Additionally, several school district officials in Arizona and New
Mexico said that they often need to replace roofs, but generally have
to partially repair or patch them until sufficient funds are
accumulated for a replacement.
District officials told us that older schools, like any older
buildings, are often expensive to maintain because they are less
efficient and other problems are more likely to surface once a repair
is started. At both school districts we visited in Montana, officials
said that the districts' schools are quite old, with sections in one
district dating back to 1919 and the other dating back to 1930. School
district officials said some buildings are still heated by boilers
originally installed in the 1940s. Officials from one of the Montana
school districts told us that they replaced the boiler at their high
school 2 years ago after accumulating the funds necessary for the
project over several years. This year, officials expect to replace the
elementary school boiler--originally installed in 1942 (see fig. 3).
According to district officials, the older boilers are inefficient and
make it difficult to maintain a comfortable building temperature.
Several school district officials in Arizona, Montana, and Washington
also said that their older buildings have single pane windows, which
make it difficult to maintain an adequate classroom temperature
compared with more efficient double pane windows. Officials also said
that the older buildings generally do not meet and are not required to
meet the current building codes, and attempts to retrofit buildings to
make them more accessible are often difficult and expensive.
Figure 3: Examples of Old and New School Heating Systems in One Montana
School District:
[Refer to PDF for image: two photographs]
Photographs of:
Elementary school‘s 1942 boiler;
High school‘s recently installed heating system.
Source: GAO.
[End of figure]
A school's remote location was also cited as a contributing factor to
facility conditions. Several of the school districts we visited were
located in remote areas, and one district spanned about 3,000 square
miles. School district officials in New Mexico and Arizona said that
because of their remote locations, quality services may be difficult to
obtain and may cost more. School officials in these states said higher
costs are often due to a lack of commercial builders in rural areas.
For example, at one remote school district we visited in New Mexico,
officials said the area lacks maintenance services for HVAC and quality
roofing contractors. Officials said the HVAC system needs constant
repairs, and repair services take longer and cost more when contractors
must travel from urban to rural areas. According to officials from one
New Mexico district, to minimize the number of trips and effectively
respond to building repairs among schools that span 60 miles,
maintenance personnel are required to check the online maintenance
system at the school for any work orders that can be completed while
maintenance personnel are on location. State officials in New Mexico
are also trying to understand whether relative remoteness was a factor
in building two different schools for about 100 students that cost $3.5
million in one remote area of the state and $8 million in another
remote area. The state has appointed a task force to address concerns
that some remote school districts are not receiving the same quality of
services as others from electricians, carpenters, and other contractors.
Some Research Suggests That Better School Facilities Are Associated
with Better Student Outcomes, and School District Officials Agreed, but
There Is Little Evidence of a Causal Relationship:
The research studies we reviewed on the relationship between the
condition of school facilities and student outcomes often showed that
better facilities were associated with better student outcomes;
however, there is not necessarily a direct causal relationship, and the
associations were often weak compared with their associations with
other factors. Also, some researchers suggest that specific
characteristics of facilities, such as lighting, may be directly
associated with student outcomes. Other characteristics of facilities,
such as the general condition of the buildings, may be indirectly
associated with student outcomes through their effects on other
factors. We identified and reviewed 24 studies that analyzed the
relationship between facility conditions and student outcomes. A
majority of these studies indicated that better school facilities were
associated with better student outcomes--such as higher scores on
achievement tests or higher student attendance rates.[Footnote 18] Most
of the studies measured the extent to which better school facilities
were associated with better outcomes after taking into account the
impact of other factors that can affect student outcomes, such as
poverty and other demographic characteristics.[Footnote 19] However,
none of these studies proves that better facilities caused better
student outcomes. About one-half of the studies we reviewed examined
broad measures, such as the general condition of the school buildings
based on evaluations by facilities specialists or by teachers, or the
suitability of school buildings--the extent to which district officials
rated the facilities as being suitable for the grades being served.
Based on these studies, it is unclear to what extent better facility
conditions contribute to better student outcomes, or whether the
associations identified may exist because other factors, such as the
level of community commitment to education, contribute to both better
facilities and better student outcomes, and none proved a causal
relationship. The other studies focused on specific aspects of
facilities, such as heating, air conditioning, ventilation, or
lighting. None of the studies we examined was able to conclusively
determine how much school facility conditions contribute to student
outcomes relative to other factors, such as the educational achievement
of students' parents or teachers' qualifications.
Studies of Broad School Facilities Measures:
Of the studies that focused on broad measures, such as measures of
physical conditions or the suitability of school facilities, about one-
half (7 of 13) found that schools with better facilities generally had
better student outcomes. These included cases in which researchers
noted possible direct connections between better facilities and student
outcomes and cases in which they noted indirect connections, with
better facilities contributing to conditions that in turn contribute to
better student outcomes. Some studies indicated associations between
facilities and student outcomes with some but not all measures of
student outcomes.[Footnote 20] One of the studies examining all
elementary and secondary schools in the District of Columbia estimated
that students attending schools in fair condition had average
achievement test scores 5.45 points higher on a 0 to 100 point scale
than those attending schools in poor condition.[Footnote 21] This was
the case after taking into account other factors that may have an
influence on student achievement, such as race and income. Similarly, a
study in the Los Angeles Unified School District found that in schools
with facilities that met health and safety compliance requirements, the
schools' average student California Academic Performance Index scores
were likely to be higher.[Footnote 22] Compared with schools in the
lowest compliance category, schools in the highest compliance category
had an estimated average score that was 36 points higher on the
composite index, with scores ranging from 200 to 1,000. This was the
result after taking into account factors, such as the percentage of
students eligible for free or reduced price school lunch and the
percentage of students who were black or Hispanic. This study found
that although the school facilities that were in better condition were
associated with better student achievement, some of the other important
factors, such as poverty, were more strongly associated with
achievement. For example, holding all else constant, schools with the
lowest percentage of students who were eligible for free or reduced
price lunch were expected to have average achievement scores 113 points
higher on the 200 to 1,000 point scale than schools in which all
students were eligible for free or reduced price lunch--more than three
times the estimated difference between school facilities in the worst
and the best compliance categories.
One study used a potentially more rigorous methodology by comparing
achievement test scores at schools before and after renovation of 3 of
the district's 21 elementary schools.[Footnote 23] The study showed
that math, but not reading test scores, improved as the proportion of
students in recently renovated schools increased. The researcher
concluded that a larger sample would be needed to provide better
evidence of a connection between school facilities and student
achievement.
Another study found no association between better school facilities in
Wyoming and student achievement. The study found that before and after
taking into account the income status of students' families, there was
no statistically significant association between schools in better
condition and schools with higher average achievement.[Footnote 24]
Similarly, no statistically significant association was found between
student achievement and the suitability of the school facilities.
School district officials at all of the eight Indian Impact Aid school
districts we visited said that in their experience, better school
facilities are associated with better student outcomes, though they
also often cited other factors that some believed had more influence,
such as whether students' families placed a high value on education.
Several district officials noted that many of their students are from
low-income families that may not place an emphasis on education.
Although officials in several districts we visited said their students
are affected by the condition of school facilities just as other
students are affected, other officials remarked that their students,
who often come from homes in poor condition, may be especially affected
by a school's good condition because it provides a more comfortable
environment.
Some studies indicate that better facilities can contribute to student
outcomes indirectly--through their effects on other factors--and school
officials with whom we spoke believed this was true in their districts.
For example, a study of Virginia middle schools indicated that although
better student achievement was associated with the quality of school
facilities, better student achievement was more highly associated with
a variable identified as "school climate," which measures attitudes in
the school community that support learning, such as students' respect
for others who get good grades and teachers' commitment to helping
students.[Footnote 25] The authors concluded that rather than having a
direct effect on student achievement, better school facilities can
indirectly influence student achievement by contributing to a good
school climate for learning. School officials we interviewed noted that
good facilities contribute to students' pride in their school. One
official noted that good school facilities send a message to students
that the community values education, which can result in better student
outcomes. Similarly, a study of New York City elementary schools found
that better school building conditions were associated with better
student attendance rates, and that these in turn were associated with
better English and math achievement.[Footnote 26]
Several school officials also noted the importance of good school
facilities for attracting and retaining good teachers who in turn can
improve student achievement. Research points to teacher quality as an
important school-level factor that influences student learning.
[Footnote 27] The association between good school facilities and
teacher retention was the focus of one study that identified several
factors associated with teachers' plans to remain another year in their
current school, including better school facility conditions.[Footnote
28] This study found an association between the school facility and
teacher retention even after taking into account several other factors,
including the teachers' ages, their tenure at the school, and their
satisfaction with pay and the community.
Studies of Specific Characteristics of School Facilities:
Studies we reviewed that focused on the effect of specific
characteristics of the school facility found that some factors, such as
lighting, are directly associated with better outcomes. Rather than
simply examining whether students have enough light to be able to see
classroom materials, some studies have examined the extent to which
classrooms provide daylight or light that simulates daylight. For
example, a study of 24 elementary schools in Georgia found that third-
grade students in classrooms with more daylight had higher average
achievement test scores after taking into account the free or reduced
price lunch variable and other aspects of the school facility design.
Including daylight in the analysis explained an additional 2.5 percent
of the variation in average test scores among the schools.[Footnote 29]
Similarly, a study of 102 schools in California, Colorado, and
Washington found that students in the classrooms with the most daylight
increased their test scores overall about 21 percent more than those
students in rooms with the least amount of daylight after taking into
account additional information, including teacher characteristics and
grade levels. A follow-up study taking into account additional
information, including teacher characteristics and grade levels
confirmed these findings, showing that students in the classrooms with
the most daylight increased their test scores overall about 21
percent.[Footnote 30] Another study found that classrooms with full-
spectrum fluorescent light bulbs, which simulate daylight, were
associated with faster academic progress compared with classrooms using
high-pressure sodium vapor bulbs, which do not simulate daylight as
well.[Footnote 31] Average test scores in classrooms with full-spectrum
bulbs indicated that students increased their level of academic
achievement by about 2 grade levels over the 2-year study period,
compared with 1.6 years for students in classrooms with the high-
pressure sodium vapor bulbs.
Few of the school administrators with whom we spoke cited lighting as a
factor related to student outcomes, although we found that the extent
to which students were exposed to natural light varied in the schools
we visited. While many schools had classrooms with windows that let in
light, the level of natural light varied considerably. One school had
installed dividing walls to create smaller classrooms out of large
spaces, and some of the resulting classrooms had no natural light. In
at least one school we visited in Washington, renovations included
upgrading lighting to provide full-spectrum light and reduce energy use.
Studies examining the quality of air in classrooms found associations
between better air quality and better health or lower absenteeism. A
study of schools in Finland found that in an elementary school with
moisture or mold problems, there was a higher occurrence of respiratory
infections, repeated wheezing and prolonged coughing, and emergency
room visits than in other schools.[Footnote 32] Another study of
schools in Finland had similar results and showed that although
background concentrations of fungi in wooden buildings were
significantly higher than in concrete or brick buildings, moisture
damage increased fungal concentrations significantly in the concrete or
brick buildings, but not in wooden school buildings. Moisture damage
increased the likelihood that students would have respiratory symptoms
in schools constructed of concrete or bricks.[Footnote 33] Another
Swedish study found that two day-care centers that installed
electrostatic air cleaning systems reduced the concentrations of fine
particles in the air, and absenteeism fell by 55 percent at the larger
center and by a smaller proportion at the smaller center.[Footnote 34]
Absenteeism almost returned to the original level after the system at
the larger center was turned off. Another study found that new
ventilation systems in Swedish schools reduced the prevalence of
asthmatic symptoms in classrooms compared with those without the new
systems.[Footnote 35] Studies in Danish elementary school classrooms
found that ventilation systems that drew in larger volumes of outdoor
air were associated on average with an 8 percent increase in the speed
at which students worked.[Footnote 36] Air quality was a concern in two
of the districts we visited, such as at a middle school we visited in
Washington where the main hallway had no ventilation or air circulation
and the stale air had a noticeable odor. School administrators cited
the poor air quality as a concern they felt was a high priority to
address. Another school in the same district faced complaints about air
quality, and administrators speculated that the air quality was
adversely affected by old carpeting.
One study considered the effects of temperature control in elementary
schools in Denmark and found an association between comfortable
temperatures and student performance. The study found that reducing
classroom temperatures from 77 degrees Fahrenheit was associated with
improved speed in math and language tests. The study indicated that a
1.8 degree Fahrenheit drop in temperature was associated with about a 4
percent increase in the speed at which students worked. The number of
errors students made decreased when performing some tasks, but not
others. School officials in several districts we visited cited
difficulties in maintaining comfortable temperatures in classrooms and
concurred that when students are too cold or too warm, it is difficult
for them to concentrate on their studies.
Agency Comments:
We provided a draft of the report to the Department of Education for
review and comment. We received technical clarifications from
Education's Impact Aid Program within the Office of Elementary and
Secondary Education, which we incorporated in the report as appropriate.
We are sending copies of this report to the appropriate congressional
committees, the Secretary of Education, and other interested parties.
In addition, the report will be available at no charge on GAO's Web
site at [hyperlink, http://www.gao.gov].
If you or your staff have any questions about this report, please
contact Cornelia Ashby on (202) 512-7215 or ashbyc@gao.gov; or Terrell
Dorn on (202) 512-6923 or dornt@gao.gov. Contact points for our Offices
of Congressional Relations and Public Affairs may be found on the last
page of this report. GAO staff who made key contributions to this
report are listed in appendix IV.
Sincerely yours,
Signed by:
Cornelia M. Ashby:
Director, Education, Workforce, and Income Security Issues:
Signed by:
Terrell G. Dorn:
Director, Physical Infrastructure Issues:
[End of section]
Appendix I: Objectives, Scope, and Methodology:
To determine what information is available about the physical condition
of school facilities in Indian Impact Aid school districts and what is
known about how the condition of school facilities affects student
outcomes, we interviewed officials from state and federal agencies, and
associations and reviewed relevant federal laws and regulations. This
included interviews with officials from the Department of Education's
National Center for Education Statistics (NCES); state education
agencies; school districts; and education associations, including the
National Indian Impacted Schools Association, the National Association
of Federally Impacted Schools, National Council for Impacted Schools,
National Indian Education Association, as well as state Indian
education officials in Washington and Montana. We conducted a
literature search to identify research studies and analyzed selected
studies. We also visited school districts in four states--Arizona,
Montana, New Mexico, and Washington.
To determine what information is available about the physical condition
of school facilities in Indian Impact Aid school districts, we
contacted officials from Education's Impact Aid Office, NCES, and
Indian Impact Aid associations for independent national data on school
condition. We decided to accept only assessment data that were prepared
by an independent party with no apparent vested interest in the results
of the assessment. We determined that Education collects surveys about
school condition from school districts that received an Impact Aid
construction formula grant, but we determined that the survey data were
of limited use because they were not based on independent assessments
and did not cover all Indian Impact Aid schools. We determined that
although NCES published the results of its study of a nationally
representative sample of school districts in which it asked school
principals about the condition of their schools, we could not use these
data because we are not able to obtain statistically meaningful
responses for Indian Impact Aid schools due to sample size, and NCES
did not independently verify the survey responses that were provided by
school principals. We found that national associations like the
National Indian Impacted Schools Association and the National Council
for Impacted Schools do not document the condition of school facilities
in Indian Impact Aid school districts.
Because we could not identify a source for nationwide data, we sought
state-level data. Education provided us with the list of states with
school districts that received fiscal year 2008 Impact Aid funds for
students living on Indian lands. From this list of 27 states, we
identified 11 states with a large number of Indian Impact Aid districts
(at least 15 districts) and contacted their state education officials
to determine whether they had independent assessment data about the
physical condition of public school facilities. We determined that four
states--Arizona, Montana, New Mexico, and Washington--had assessment
data for some or all of their public schools.
We obtained and analyzed these data from the four states, which did not
maintain the data in similar fashions. Montana and its contractor
provided us with a copy of its complete school building and system-
level analyses of repair and replacement costs, which we used to
generate our school district-level analysis. New Mexico provided us
with school district-level data of building system repair and
replacement costs. Arizona collected only deficiency information at the
school building-level, which we used to create our district-level
information for site selection. Washington maintained hard copies of
the building-level evaluation reports, which we keypunched to create
raw data for district-level files. On the basis of our analysis, we
were able to describe the condition of schools in Indian Impact Aid
districts in three of the four states. We determined that these data
were sufficiently reliable for the analysis used in this report. We
were not able to use Arizona's data because, although it describes a
variety of information, including the number, type, and size of
buildings and whether the school site and building systems meet the
state's adequacy standards, the data do not determine whether the
school facilities are in good, fair, or poor condition. For the other
three states, we combined the facilities data with Education's Common
Core of Data to describe the characteristics of the school districts,
which we used for selecting school districts for site visits.
Because each state's assessment program is unique, it does not allow
for comparisons among states. For example, while both Montana and New
Mexico create a facility condition index that is based on the ratio of
renewal cost to replacement cost, New Mexico weights deficiencies in a
manner consistent with its own state priorities, (e.g., classroom
space); whereas, Montana does not rely on any explicit weighting
scheme. In addition, each state bundled its building system groups
differently, consistent with state priorities with the respective
indexes for each bundle being incorporated into the calculation of the
overall facility condition index. In contrast, the assessment program
in Washington does not calculate a facility condition index. Only
districts seeking funds for planning grants or construction participate
in the Washington assessment program, unlike in Montana and New Mexico
where all school districts were assessed. Because of these differences,
facility condition measures are not strictly comparable across states.
While comparison among states would not be valid to evaluate the
condition of schools in Indian Impact Aid districts, the condition of
school facilities can safely be compared within each state. This
comparison allows for an assessment of the quality of school condition
in Indian Impact Aid districts relative to that of other districts in
the same state.
In Washington, only districts applying for a study and survey grant
submit documentation of the condition of their school facilities. The
districts that do participate in the study and survey grant program are
required to provide matching funds, which in turn may indicate the
ability to obtain school board or community approval to levy a bond. Of
29 Indian Impact Aid school districts, 9 have submitted building
evaluation reports since 2003. Similarly, 109 of 266 other school
districts statewide have completed and submitted an evaluation report
for their district. Because less than one-half of the districts
submitted evaluation data and the districts that did are self-selected,
it is not known whether the assessed districts differ systematically
from the nonassessed group. In addition, whether and how systematic
differences between the assessed and nonassessed groups occur could be
different for Indian Impact Aid districts and other districts in
Washington. Differences in facility condition between Indian Impact Aid
districts and other districts in Washington could be attributable to
these underlying selection-related differences and not to any real
differences between the two populations of school districts in
Washington.
We selected two school districts in each of the four states to visit to
obtain district officials' perspectives on factors that affect facility
maintenance and to observe their facilities. We selected districts that
provided variety on the basis of selection criteria, such as
information about the relative condition of the school districts'
facilities, the proportion of the school district's revenue composed of
Impact Aid, proportion of students who are Indians, and number of
students enrolled. (See table 2.):
Table 2: Characteristics of Site Visit School Districts:
State: Arizona;
School district: Indian Oasis-Baboquivari;
State facility score: [A];
Impact Aid as a percentage of revenue 2005-06: 28%;
Indians as a percentage of all students in 2006: 99%;
Student average daily attendance in 2007: 1,042.
State: Arizona;
School district: Sanders;
State facility score: [A];
Impact Aid as a percentage of revenue 2005-06: 37%;
Indians as a percentage of all students in 2006: 98%;
Student average daily attendance in 2007: 934.
State: Montana;
School district: Dixon;
State facility score: 8[B];
Impact Aid as a percentage of revenue 2005-06: 19%;
Indians as a percentage of all students in 2006: 50%;
Student average daily attendance in 2007: 84.
State: Montana;
School district: St. Ignatius;
State facility score: 20[B];
Impact Aid as a percentage of revenue 2005-06: 16%;
Indians as a percentage of all students in 2006: 55%;
Student average daily attendance in 2007: 449.
State: New Mexico;
School district: Central Consolidated;
State facility score: 15[B];
Impact Aid as a percentage of revenue 2005-06: 31%;
Indians as a percentage of all students in 2006: 89%;
Student average daily attendance in 2007: 6,343.
State: New Mexico;
School district: Zuni;
State facility score: 6[B];
Impact Aid as a percentage of revenue 2005-06: 38%;
Indians as a percentage of all students in 2006: 99%;
Student average daily attendance in 2007: 1,382.
State: Washington;
School district: Mt. Adams;
State facility score: 51[C];
Impact Aid as a percentage of revenue 2005-06: 27%;
Indians as a percentage of all students in 2006: 65%;
Student average daily attendance in 2007: 951.
State: Washington;
School district: Wapato;
State facility score: 72[C];
Impact Aid as a percentage of revenue 2005-06: 7%;
Indians as a percentage of all students in 2006: 26%;
Student average daily attendance in 2007: 3,207.
Source: GAO analysis of Department of Education and state data.
[A] Arizona did not identify a score. Selection was based on lists of
deficiencies in the state's database, comments from state facility
assessors, and other information.
[B] For Montana and New Mexico, a lower score indicates school
facilities are in better condition.
[C] For Washington, a higher score indicates school facilities are in
better condition.
[End of table]
To determine what is known about how school facilities affect student
outcomes, we conducted a search for research studies that addressed
this topic. We identified studies dating back to 1980 and selected
those that were either from peer-reviewed journal articles or were
methodologically rigorous studies from (or sponsored by) other sources,
such as government institutions. Two GAO staffers, one analyst from the
audit team and one methodologist from the research group,
systematically reviewed each of the studies selected, evaluating the
design, measurement strategies, and methodological integrity and
entering this information into a database. From more than 100 studies
that we initially selected, 24 were selected to be included in our
review. We excluded studies because, for example, they did not provide
sufficient detail on the analytical approach or failed to control for
other plausible explanations for differences. The selected studies were
sufficiently rigorous and included tests of hypotheses; measures of
association; and multivariate techniques, such as ordinary least
squares regression (see table 3).
Table 3: Number of Selected Research Studies on Selected Facility and
Student Outcome Variables:
Facility variable: General condition or suitability;
Student outcome variables:
Achievement test scores: 12;
Health and well-being: 0;
Student attendance and dropout rates: 2;
Student behavior: 0.
Facility variable: Lighting;
Student outcome variables:
Achievement test scores: 3;
Health and well-being: 2;
Student attendance and dropout rates: 3;
Student behavior: 1.
Facility variable: Air quality, ventilation, and climate control;
Student outcome variables:
Achievement test scores: 1;
Health and well-being: 4;
Student attendance and dropout rates: 1;
Student behavior: 0.
Facility variable: Crowding;
Student outcome variables:
Achievement test scores: 2;
Health and well-being: 0;
Student attendance and dropout rates: 1;
Student behavior: 0.
Facility variable: Special equipment;
Student outcome variables:
Achievement test scores: 1;
Health and well-being: 0;
Student attendance and dropout rates: 0;
Student behavior: 0.
Facility variable: Acoustics;
Student outcome variables:
Achievement test scores: 1;
Health and well-being: 0;
Student attendance and dropout rates: 0;
Student behavior: 1.
Facility variable: Other;
Student outcome variables:
Achievement test scores: 3;
Health and well-being: 0;
Student attendance and dropout rates: 0;
Student behavior: 0.
Source: GAO analysis of selected studies.
Note: A single study may have included more than one facility variable
or more than one student outcome variable. For additional information
about selected results of these studies, see appendix III.
[End of table]
In addition to these 24 studies, we reviewed 4 additional studies that
focused on the relationship between facility condition and teacher
outcomes rather than student outcomes. The selected studies were
sufficiently rigorous and included tests of hypotheses; measures of
association; and multivariate techniques, such as ordinary least
squares regression.
Each of these studies is subject to certain methodological limitations,
which limit the extent to which the results can be generalized to
school facilities in general or to school facilities in Indian Impact
Aid districts. Many of the studies focus on comparisons of schools
without information about the outcomes in schools before and after
changes in school facilities. This makes it difficult to isolate the
effects of improvements in school facilities. Some studies used small
samples or had low response rates to surveys or had missing data for
many schools in the original sample. Several studies focused on schools
in other countries and the extent to which their results are applicable
to schools in the United States is uncertain. In at least one case, the
research was funded in part by a group--such as a building association--
that may have had an interest in the results.
We conducted our work from September 2008 to October 2009 in accordance
with all sections of GAO's Quality Assurance Framework that are
relevant to our objectives. The framework requires that we plan and
perform the engagement to obtain sufficient and appropriate evidence to
meet our stated objectives and to discuss any limitations in our work.
We believe that the information and data obtained, and the analysis
conducted, provide a reasonable basis for any findings in this product.
[End of section]
Appendix II: List of School Districts That Received Indian Impact Aid
in Fiscal Year 2009:
Table 4 contains a list of the 25 states with public school districts
that had received Indian Impact Aid for fiscal year 2009, as of August
2009. We use the term Indian Impact Aid to refer to school districts
that qualify to receive Impact Aid basic support funding because they
meet the minimum eligibility criteria, namely they have at least 400
students in average daily attendance who are federally connected, in
this case who reside on Indian lands, or such students comprise at
least 3 percent of the total number of students in the district. The
table also lists for each district the total number of students living
on Indian lands in average daily attendance for the previous school
year, this number as a percentage of the total number of students in
average daily attendance, and the amount of Impact Aid basic support
payments each district received for students residing on Indian lands
under section 8003(b) of the Elementary and Secondary Education Act of
1965, as amended. These amounts do not include basic support payments
for other students with connections to other federal lands, children
with disabilities, or construction grants under section 8007.
Table 4: States with School Districts Receiving Impact Aid for Students
Residing on Indian Lands, Fiscal Year 2009 (as of August 2009):
State: Alaska;
Indian Impact Aid school districts[A]: 31;
Students living on Indian lands[B]: 11,746;
Percentage of all students living on Indian lands[C]: 52%;
Basic support payments[D]: $83,166,785.
State: Arizona;
Indian Impact Aid school districts[A]: 63;
Students living on Indian lands[B]: 29,772;
Percentage of all students living on Indian lands[C]: 15%;
Basic support payments[D]: 149,112,370.
State: California;
Indian Impact Aid school districts[A]: 39;
Students living on Indian lands[B]: 4,947;
Percentage of all students living on Indian lands[C]: 11%;
Basic support payments[D]: 13,878,219.
State: Colorado;
Indian Impact Aid school districts[A]: 2;
Students living on Indian lands[B]: 597;
Percentage of all students living on Indian lands[C]: 16%;
Basic support payments[D]: 1,614,485.
State: Idaho;
Indian Impact Aid school districts[A]: 5;
Students living on Indian lands[B]: 991;
Percentage of all students living on Indian lands[C]: 17%;
Basic support payments[D]: 3,683,788.
State: Iowa;
Indian Impact Aid school districts[A]: 1;
Students living on Indian lands[B]: 186;
Percentage of all students living on Indian lands[C]: 13%;
Basic support payments[D]: 503,421.
State: Kansas;
Indian Impact Aid school districts[A]: 2;
Students living on Indian lands[B]: 264;
Percentage of all students living on Indian lands[C]: 19%;
Basic support payments[D]: 880,380.
State: Maine;
Indian Impact Aid school districts[A]: 3;
Students living on Indian lands[B]: 188;
Percentage of all students living on Indian lands[C]: 98%;
Basic support payments[D]: 1,311,219.
State: Massachusetts;
Indian Impact Aid school districts[A]: 1;
Students living on Indian lands[B]: 13;
Percentage of all students living on Indian lands[C]: 4%;
Basic support payments[D]: 6,458.
State: Michigan;
Indian Impact Aid school districts[A]: 12;
Students living on Indian lands[B]: 980;
Percentage of all students living on Indian lands[C]: 13%;
Basic support payments[D]: 3,787,902.
State: Minnesota;
Indian Impact Aid school districts[A]: 21;
Students living on Indian lands[B]: 3,564;
Percentage of all students living on Indian lands[C]: 24%;
Basic support payments[D]: 15,899,283.
State: Montana;
Indian Impact Aid school districts[A]: 60;
Students living on Indian lands[B]: 7,344;
Percentage of all students living on Indian lands[C]: 52%;
Basic support payments[D]: 38,805,035.
State: Nebraska;
Indian Impact Aid school districts[A]: 5;
Students living on Indian lands[B]: 1,020;
Percentage of all students living on Indian lands[C]: 73%;
Basic support payments[D]: 6,938,529.
State: Nevada;
Indian Impact Aid school districts[A]: 6;
Students living on Indian lands[B]: 1,074;
Percentage of all students living on Indian lands[C]: 1v;
Basic support payments[D]: 2,126,010.
State: New Mexico;
Indian Impact Aid school districts[A]: 19;
Students living on Indian lands[B]: 18,950;
Percentage of all students living on Indian lands[C]: 3%2;
Basic support payments[D]: 96,948,176.
State: North Carolina;
Indian Impact Aid school districts[A]: 4;
Students living on Indian lands[B]: 683;
Percentage of all students living on Indian lands[C]: 10%;
Basic support payments[D]: 1,630,249.
State: North Dakota;
Indian Impact Aid school districts[A]: 15;
Students living on Indian lands[B]: 2,274;
Percentage of all students living on Indian lands[C]: 36%;
Basic support payments[D]: 11,496,248.
State: Oklahoma;
Indian Impact Aid school districts[A]: 195;
Students living on Indian lands[B]: 10,053;
Percentage of all students living on Indian lands[C]: 9%;
Basic support payments[D]: 27,027,156.
State: Oregon;
Indian Impact Aid school districts[A]: 4;
Students living on Indian lands[B]: 977;
Percentage of all students living on Indian lands[C]: 14%;
Basic support payments[D]: 2,566,981.
State: South Dakota;
Indian Impact Aid school districts[A]: 26;
Students living on Indian lands[B]: 5,730;
Percentage of all students living on Indian lands[C]: 48%;
Basic support payments[D]: 33,141,042.
State: Texas;
Indian Impact Aid school districts[A]: 1;
Students living on Indian lands[B]: 115;
Percentage of all students living on Indian lands[C]: 24%;
Basic support payments[D]: 336,410.
State: Utah;
Indian Impact Aid school districts[A]: 4;
Students living on Indian lands[B]: 2,011;
Percentage of all students living on Indian lands[C]: 16%;
Basic support payments[D]: 7,759,813.
State: Washington;
Indian Impact Aid school districts[A]: 28;
Students living on Indian lands[B]: 5,501;
Percentage of all students living on Indian lands[C]: 13%;
Basic support payments[D]: 18,804,996.
State: Wisconsin;
Indian Impact Aid school districts[A]: 18;
Students living on Indian lands[B]: 3,235;
Percentage of all students living on Indian lands[C]: 16%;
Basic support payments[D]: 11,962,457.
State: Wyoming;
Indian Impact Aid school districts[A]: 4;
Students living on Indian lands[B]: 1,383;
Percentage of all students living on Indian lands[C]: 75%;
Basic support payments[D]: 9,945,109.
State: Total;
Indian Impact Aid school districts[A]: 569;
Students living on Indian lands[B]: 113,599;
Percentage of all students living on Indian lands[C]: 17%;
Basic support payments[D]: $543,332,521.
Source: GAO analysis of Department of Education data.
Note: These figures reflect payments to date on fiscal year 2009 basic
support payments as of August 2009. At that time, with the eligibility
of 31 applicants undecided, 92 percent of the approximately $1.1
billion of appropriations for basic support payments had been paid.
Education makes final payments of the remaining funds when final
decisions are reached on all applications, which Impact Aid Office
staff indicated typically occurs about 2 years after the appropriation
year.
[A] This is a count, as of August 2009, of the school districts in each
state that Education found to be eligible for fiscal year 2009 Impact
Aid basic support payments because they have students living on Indian
lands.
[B] This is the average daily attendance count of students living on
Indian lands in the districts indicated. These counts come from the
school year 2 years prior to the year the appropriation is available.
For example, fiscal year 2009 basic support payments are based on
student counts during the 2007-2008 school year.
[C] This is the average daily attendance count of students living on
Indian lands as a percentage of the average daily attendance count of
all students in the indicated districts.
[D] This is the total amount of Impact Aid basic support payments that
the districts had received for students living on Indian lands as of
August 2009. Overall, as of August 2009, 92 percent of appropriated
basic support payments of all kinds for fiscal year 2009 had been
disbursed.
[End of table]
[End of section]
Appendix III: Examples of Studies Examining School Facilities and
Student Outcomes:
Table 5 provides summary information about selected studies on broad
measures of school facilities and student achievement.
Table 5: Examples of Studies on Broad Measures of School Facilities and
Student Achievement:
Author and year: Maureen M. Berner 1993[A];
School facility variable: Condition of school building, excellent to
poor;
Student achievement variable: Comprehensive Tests of Basic Skills
score;
Selected findings: A school in fair condition could be expected to have
average achievement test scores 5.45 points higher than a school in
poor condition, on a scale of 0 to 100.
Author and year: Jack Buckley and others 2004[B];
School facility variable: Overall building compliance level with health
and safety standards;
Student achievement variable: California state achievement tests;
Selected findings: Schools in the best condition compared with those in
the worst condition had an estimated 36-point higher average composite
score on student achievement tests with a 200 to 1,000 point scale.
Author and year: Valkiria Durán-Narucki 2008[C];
School facility variable: Condition of elementary school buildings
based on independent consultant assessments;
Student achievement variable: New York State and City mathematics and
English achievement test results;
Selected findings: Better school building conditions were associated
with better student attendance rates, and these in turn were associated
with better English and mathematics achievement.
Author and year: Morgan Lewis 2001[D];
School facility variable: Assessments of school condition by district
staff and staff from the program architect;
Student achievement variable: Wisconsin Student Assessment System test
scores;
Selected findings: Schools with better building conditions generally
had better average achievement test results for each of four tests in 3
years, but the association was statistically significant in only 11 of
36 tests after taking other factors into account (with a one-tailed
test of significance.) These 11 tests were for 1996 and 1997. None of
the tests for 1998 were statistically significant.
Author and year: Lorraine E. Maxwell 1999[E];
School facility variable: Whether schools had recent renovation
projects;
Student achievement variable: New York Pupil Evaluation Program reading
and math scores;
Selected findings: Schools with recent renovations generally had better
average math achievement test scores, but results showed no association
with reading achievement scores.
Author and year: Lawrence O. Picus and others 2005[F];
School facility variable: Building quality scores by a consulting firm;
Student achievement variable: Wyoming Comprehensive Assessment System
scores;
Selected findings: Facility conditions were not associated with better
or worse achievement test scores after taking into account the
percentage of students eligible for free or reduced price school lunch
in each school.
Author and year: PricewaterhouseCoopers 2003[G];
School facility variable: Amount of capital expenditures to improve the
suitability of the facilities;
Student achievement variable: The percentage of students meeting
reading, writing, math, and science standards in the United Kingdom;
Selected findings: Schools with additional capital investment in
facilities generally had better pupil performance, particularly for
community primary schools and for investment in science laboratories
and technology.
Author and year: Mark Schneider 2002[H];
School facility variable: Teachers' survey response grading the
condition of schools' facilities;
Student achievement variable: Stanford Achievement Test in District of
Columbia schools and Iowa Test of Basic Skills in Chicago schools;
Selected findings: Schools with facilities in the worst condition had
lower percentages of students performing in the two highest achievement
categories--an estimated 3 percent fewer compared with school
facilities in the best condition in the District of Columbia, and 3 to
4 percent fewer in Chicago.
Author and year: Kenneth Stevenson 2001[I];
School facility variable: Principals' perceptions of school condition;
Student achievement variable: SAT and South Carolina Palmetto
Achievement Challenge Test scores;
Selected findings: School facility conditions in better condition
generally had higher average achievement test scores in some, but not
all instances studied. After taking into account the percentage of
students eligible for free or reduced-price lunch, better facilities
were associated with better 7th and 8th grade reading and 6th and 7th
grade math test scores, but not for any elementary grade test scores.
Author and year: Cynthia Uline and Megan Tschannen-Moran 2008[J];
School facility variable: Teachers' perceptions of the quality of
school facilities;
Student achievement variable: Factor based on two Virginia standards
of learning test scores;
Selected findings: Schools with better quality facilities generally had
better test scores, but not after taking into account school attitudes,
such as whether students admire others who get good grades and whether
teachers are committed to students' education. The authors concluded
that better quality facilities affect achievement indirectly--through
their effect on school attitudes.
Author and year: George A. Waller 1998[K];
School facility variable: State average measures of school facility
conditions from a 1996 GAO survey of a sample of schools concerning
school conditions in three categories: technology, environmental
conditions, and building structures;
Student achievement variable: Factor based on state average SAT and ACT
scores;
Selected findings: School facilities with better environmental
conditions and technology generally had higher average achievement test
scores. The adequacy of building structures was not associated with
higher test scores.
Source: GAO analysis of selected studies.
[A] Maureen M. Berner, "Building Conditions, Parental Involvement, and
Student Achievement in the District of Columbia Public School System,"
Urban Education 28(1) (April 1993), 6-29.
[B] Jack Buckley, Mark Schneider, and Yi Shang, "LAUSD School
Facilities and Academic Performance," (National Clearinghouse for
Educational Facilities, Washington, D.C.: 2004).
[C] Valkiria Durán-Narucki, "School Building Condition, School
Attendance, and Academic Achievement in New York City Public Schools: A
Mediation Model," Journal of Environmental Psychology 28 (2008), 278-
286.
[D] Moran Lewis, "Facility Conditions and Student Test Performance in
the Milwaukee Public Schools," (Scottsdale, Arizona: Council of
Educational Facility Planners, International, 2001). See [hyperlink,
http://www.cefpi.org/issuetraks.html] (last accessed on Sept. 29, 2008).
[E] Lorraine E. Maxwell, "School Building Renovation and Student
Performance: One District's Experience" Council of Educational Facility
Planners International (Scottsdale, Ariz.: 1999).
[F] Lawrence O. Picus, Scott F. Marion, Naomi Calvo, and William J.
Glenn, "Understanding the Relationship Between Student Achievement and
the Quality of Educational Facilities: Evidence from Wyoming," Peabody
Journal of Education, 80(3) (2005), 71-95.
[G] PricewaterhouseCoopers, Department for Education and Skills,
"Building Better Performance: An Empirical Assessment of the Learning
and Other Impacts of Schools Capital Investment," Research Report RR407
(Nottingham: DfES Publications, 2003).
[H] Mark Schneider, "Public School Facilities and Teaching: Washington,
DC and Chicago," Twenty-First Century School Fund (Washington, D.C.:
2002).
[I] Kenneth R. Stevenson, "The Relationship of School Facilities
Conditions to Selected Student Academic Outcomes: A Study of South
Carolina Public Schools," University of South Carolina, College of
Education, Department of Educational Leadership and Policies (2001).
[J] Cynthia Uline and Megan Tschannen-Moran, "The Walls Speak: the
Interplay of Quality Facilities, School Climate, and Student
Achievement," Journal of Educational Administration 46(1) (2008), 55-
73.
[K] George A. Waller, "For Want of a Modem and a Comfortable Chair: A
Research Note," American Journal of Political Science 42(2) (April
1998), 705-708.
[End of table]
Table 6 provides summary information concerning other studies on school
facilities and student outcomes--including those on specific school
facility characteristics and various student outcomes, including
achievement, attendance, and behavior and health.
Table 6: Examples of Other Studies on School Facilities and Student
Outcomes.
Author and year: David Branham 2004[A];
School facility variable(s): Presence of structural problems in school
facility and temporary buildings;
Student outcome variable: Student attendance and dropout rates;
Selected findings: A secondary school with 1,000 students could expect
10 to 13 more dropouts a year and fewer students in attendance if the
school had structural problems. The use of temporary buildings was also
associated with lower attendance rates.
Author and year: Warren E. Hathaway 1995[B];
School facility variable(s): Use of four different types of light
fixtures in school classrooms;
Student outcome variable: A comparison of scores on Canadian Test of
Basic Skills taken in 1987 and 1989, attendance rates, measures of
physical development and dental health;
Selected findings: Attendance, achievement, health, and development
measures were better in schools with full-spectrum lights compared with
those in schools with high-pressure sodium vapor lights.
Author and year: Lisa Heschong and others 2002[C];
School facility variable(s): Researchers' classification of the amount
of daylight in the classroom;
Student outcome variable: Student attendance rates in each school
district; Iowa Test of Basic Skills in Seattle, Washington; and other
standardized tests in Fort Collins, Colorado, and Capistrano,
California;
Selected findings: In each of the three school districts, the
availability of more daylight was associated with higher achievement.
After taking into account additional factors, such as teacher
characteristics, more daylight continued to be associated with higher
achievement. The amount of daylight was not associated with attendance
rates.
Author and year: Rikard Küller and Carin Lindsten 1992[D];
School facility variable(s): Amount of natural daylight and fluorescent
light in classrooms;
Student outcome variable: Student attendance, sociability, and sick
leave use;
Selected findings: Classrooms that lacked natural or simulated daylight
had marked delays in rise of a natural hormone, cortisol. The ability
to concentrate was higher in the classrooms with overhead daylight and
artificial warm white tube lighting. Sociability was higher with
windows or fluorescent daylight tubes.
Author and year: Lorraine E. Maxwell and Gary W. Evans 2000[E];
School facility variable(s): The installation of sound absorbent panels
in classroom ceilings to reduce noise levels;
Student outcome variable: Tests of preschool children's number and
letter recognition, letter- sound correspondence, and rhyming skills;
and teachers' evaluations of children's language skills before and
after installation of sound absorbent panels;
Selected findings: Scores were higher after installation of sound
absorbent panels for (1) recognition of numbers, letters, and simple
words and (2) teachers' evaluation of children's language skills.
Differences were not statistically significant for rhyming or letter-
sound correspondence.
Author and year: Teija Meklin and others 2002[F];
School facility variable(s): Presence of moisture problems in school
buildings and levels of airborne microbes;
Student outcome variable: Respiratory health survey responses;
Selected findings: Children in schools with moisture problems reported
respiratory symptoms more often than in schools without such problems.
This was also the case among buildings with concrete or brick
construction, but the association was not statistically significant
among schools with wood construction.
Author and year: Douglas E. Mitchell and Ross E. Mitchell 1999[G];
School facility variable(s): Reductions in class size from a typical 28
to 32 to a maximum of 20 students in kindergarten through third-grade
classrooms;
Student outcome variable: Reading, math, and language achievement test
scores;
Selected findings: Smaller class sizes were associated with higher test
scores for reading, math, and language. The effects were small after
taking into account student demographics, including gender, income,
ethnicity, language used at home.
Author and year: Francisco L. Rivera-Batiz and Lilian Marti 1995[H];
School facility variable(s): Overcrowding in schools measured as the
number of students compared with the schools design capacity;
Student outcome variable: Degrees of Reading Power test scores and New
York Pupil Evaluation Program Test in mathematics;
Selected findings: Among schools with high proportions of poor
students, overcrowding was associated with lower student achievement.
Among schools with lower proportions of poor students, overcrowding was
associated with higher achievement, as schools with high achievement
attract more students.
Author and year: Karl G. Rosén and George Richardson 1999[I];
School facility variable(s): Indoor air quality as measured by levels
of airborne particles in schools with and without electrostatic air
cleaning systems in operation;
Student outcome variable: Student attendance rates;
Selected findings: When the electrostatic air cleaning systems were in
operation, average attendance rates rose, although this was not
statistically significant at the smaller day-care center.
Author and year: Greta Smedje and Dan Norbäck 2000[J];
School facility variable(s): Ventilation measured as the flow of
outside air into the school buildings;
Student outcome variable: Responses to student surveys concerning
asthmatic symptoms;
Selected findings: Lower incidence of any asthmatic symptoms was
associated with improved ventilation.
Author and year: C. Kenneth Tanner 2008[K];
School facility variable(s): School building design characteristics,
including the availability of space to accommodate students' movement
and circulation, meeting in large groups, day lighting and views, and
space of instructional neighborhoods;
Student outcome variable: Iowa Test of Basic Skills;
Selected findings: Schools designed to accommodate students' movement
and circulation were more likely to have higher student achievement.
This was also true for the presence of the other design
characteristics, but these accounted for less of the variation in
achievement (2 percent compared with 7 percent for designs
accommodating movement and circulation).
Author and year: Taina Taskinen and others 1999[L];
School facility variable(s): The presence of moisture problems in
elementary schools and indoor air quality;
Student outcome variable: Parents' responses to a survey concerning
respiratory symptoms;
Selected findings: In the school with moisture problems, parents noted
higher incidence of children with repeated wheezing and prolonged
coughing and incidence of respiratory infections leading to emergency
room visits and use of antibiotics.
Author and year: Pawel Wargocki and David P. Wyon 2006[M];
School facility variable(s): Outdoor air supply rate and classroom
temperatures;
Student outcome variable: The speed at which students completed various
mathematics, reading comprehension, and proofreading tasks;
Selected findings: Increasing the outdoor air supply rate and reducing
elevated classroom temperatures significantly improved student
performance, primarily how quickly students completed tasks.
Source: GAO analysis of selected studies.
[A] David Branham, "The Wise Man Builds His House upon the Rock: The
Effects of Inadequate School Building Infrastructure on Student
Attendance," Social Science Quarterly 85(5) (December 2004), 1112-1128.
[B] Warren E. Hathaway, "Effects of School Lighting on Physical
Development and School Performance," The Journal of Educational
Research 88(4) (March-April 1995), 228-242.
[C] Lisa Heschong, Ihab Elzeyadi, and Carey Knecht, "Re-Analysis
Report: Daylighting in Schools, Additional Analysis, Tasks 2.2.1
through 2.2.5" Heschong Mahone Group, (Fair Oaks, Calif.: 2002). See
[hyperlink, http://www.newbuildings.org/pier/overview.htm] (last
accessed Sept. 29, 2008). This is a reanalysis of results from Lisa
Heschong, "Daylighting in Schools: An Investigation into the
Relationship between Daylighting and Human Performance," Heschong
Mahone Group, (Fair Oaks, Calif.: July 1999).
[D] Rikard Küller and Carin Lindsten, "Health and Behavior of Children
in Classrooms with and without Windows," Journal of Environmental
Psychology 12 (1992),305-317.
[E] Lorraine E. Maxwell and Gary W. Evans, "The Effects of Noise on Pre-
School Children's Pre-Reading Skills," Journal of Environmental
Psychology 20 (2000), 91-97.
[F] Douglas E. Mitchell and Ross E. Mitchell, "The Impact of
California's Class Size Reduction Initiative on Student Achievement:
Detailed Findings from Eight School Districts," California Educational
Research Cooperative, University of California, Riverside (1999).
[G] Teija Meklin, T. Husman, A. Vepsäläinen, M. Vahteristo, J.
Koivisto, J. Halla-Aho, A. Hyvärinen, D. Moschandreas, and A.
Nevalainen, "Indoor Air Microbes and Respiratory Symptoms of Children
in Moisture Damaged and Reference Schools," Indoor Air 12(3) (2002),
175-183.
[H] Francisco L. Rivera-Batiz and Lilian Marti, "A School System at
Risk: A Study of the Consequences of Overcrowding in New York City
Public Schools," Institute for Urban and Minority Education, Teachers
College Columbia University, (New York: January 1995).
[I] Karl G. Rosén and George Richardson, "Would Removing Indoor Air
Particulates in Children's Environments Reduce Rate of Absenteeism--A
Hypothesis," The Science of the Total Environment 234 (1999), 87-93.
[J] Greta Smedje and Dan Norbäck, "New Ventilation Systems at Select
Schools in Sweden--Effects on Asthma and Exposure," Archives of
Environmental Health 55(1) (January/February 2000), 18-25.
[K] C. Kenneth Tanner, "Explaining Relationships among Student Outcomes
and the School's Physical Environment," Journal of Advanced Academics
19(3) (Spring 2008), 444-471.
[L] Taina Taskinen, A. Hyvärinen, T. Meklin, T. Husman, A. Nevalainen,
and M. Korppi, "Asthma and Respiratory Infections in School Children
with Special Reference to Moisture and Mold Problems in the School,"
Acta Paediatrica 88(12) (1999), 1373-1379.
[M] Pawel Wargocki and David P. Wyon, "Research Report on Effects of
HVAC on Student Performance," ASHRAE Journal 48(10) (October 2006), 22-
28 (American Society of Heating, Refrigerating, and Air-Conditioning
Engineers).
[End of table]
[End of section]
Appendix IV: GAO Contacts and Staff Acknowledgments:
GAO Contacts:
Cornelia M. Ashby, (202) 512-7215 or ashbyc@gao.gov Terrell G. Dorn,
(202) 512-6923 or dornt@gao.gov:
Staff Acknowledgments:
In addition to the contacts named above, Kathryn A. Larin and Maria D.
Edelstein, Assistant Directors; Pamela R. Davidson; Gail F. Marnik;
John W. Mingus, Jr.; Benjamin P. Pfeiffer; James M. Rebbe; Kimberly M.
Siegal; Larry S. Thomas; Kathleen L. van Gelder; and Walter K. Vance
made key contributions to this report.
[End of section]
Footnotes:
[1] For the purpose of distributing Impact Aid funds, Indian lands are
defined to include federal property held in trust by the United States
for individual Indians or Indian tribes; other designated lands held by
individual Indians or Indian tribes; and public land owned by the
United States that is designated for the sole use and benefit of
individual Indians or Indian tribes. For a complete definition, see 20
U.S.C. § 7713(7).
[2] We use the term "Indian Impact Aid" to refer to those school
districts that qualify to receive Impact Aid basic support funding
because they meet the minimum eligibility criteria, namely they have at
least 400 students in average daily attendance who are federally
connected, in this case who reside on Indian lands, or such students
comprise at least 3 percent of the total number of students in the
district.
[3] Although the Bureau of Indian Education also funds, and in some
instances operates, schools for Indian students, we focus on public
schools that receive Impact Aid funds for students residing on Indian
lands.
[4] For information concerning Bureau of Indian Education schools, see
GAO, Bureau of Indian Education Schools: Improving Interior's
Assistance Would Help Some Tribal Groups Implement Academic
Accountability Systems, [hyperlink,
http://www.gao.gov/products/GAO-08-679] (Washington, D.C.: June 27,
2008); and Bureau of Indian Education: Improving Interior's Assistance
Would Aid Tribal Groups Developing Academic Accountability Systems,
[hyperlink, http://www.gao.gov/products/GAO-08-1125T] (Washington,
D.C.: Sept. 9, 2008).
[5] The formula for distributing Impact Aid basic support payments also
takes into account the number of students in certain low-rent housing,
the average daily attendance for the district, and the national and
state per pupil expenditure figures. The Impact Aid program also
authorizes separate payments on behalf of children eligible to receive
services under the Individuals with Disabilities Education Act whose
parents are members of the Armed Forces and those residing on Indian
lands.
[6] As of August 2009, 93 percent of the approximately $1.1 billion of
fiscal year 2008 appropriations for basic support payments had been
paid to 1,229 school districts. Education makes final payments of the
remaining funds when final decisions are reached on all applications,
which Impact Aid Office staff indicate typically occurs about 2 years
after the appropriation year.
[7] These are the amounts paid to date as of December 2008, at which
time 92 percent of all basic support payment Impact Aid appropriations
for fiscal year 2008 had been paid. Some states, such as New Mexico,
with Education approved programs for equalization of funding for school
districts adjust the level of state funding districts receive on the
basis of the amount of local revenue and Impact Aid districts receive.
[8] ESEA places no specific restriction on the use of Impact Aid basic
support funds, but does require, for example, that children living on
Indian lands participate in the programs and activities supported by
these funds on an equal basis with all other children, and that parents
and Indian tribes are consulted and involved in planning and developing
these programs and activities.
[9] Due in part to these provisions, in fiscal year 2008, Indian Impact
Aid districts with more than 40 percent of students living on Indian
lands received overall 2½ times as much in basic support per student
living on Indian lands as Indian Impact Aid districts with fewer
students living on Indian lands.
[10] Education regulations define the term "emergency" as "a school
facility condition that is so injurious or hazardous that it—poses an
immediate threat to the health and safety of the facility's students
and staff or can be reasonable expected to [do so] in the near future."
34 C.F.R. § 222.176.
[11] Pub. L. No. 111-5, § 805(b), 123 Stat. 189 (2009). Of the $100
million available for construction, approximately $60 million is
available for competitive construction grants, which are expected to be
available to a larger number of Impact Aid districts, because the
Recovery Act provides eligibility criteria that do not include
requirements for a minimum number of students who are living on Indian
lands or are connected to military bases.
[12] Pub. L. No. 111-5, Division A, Title XIV.
[13] NCES is the primary federal entity for collecting, analyzing, and
reporting data related to education in the United States.
[14] B. Chaney and L. Lewis (2007), Public School Principals Report on
Their School Facilities: Fall 2005 (NCES 2007-007). U.S. Department of
Education. Washington, D.C.: National Center for Education Statistics.
[15] Our analysis uses an FCI scale wherein an FCI below 10 percent
indicates the facility is in good condition, an FCI that is 10 to 19
percent indicates the facility is in fair condition, and an FCI that is
20 percent and greater indicates a facility is in poor condition.
[16] The number of Indian Impact Aid school districts is based on 2008
data from Education, the most recent data available at the time of this
analysis.
[17] To more easily describe the condition of facilities, we combined
districts with poor and unsatisfactory scores into one category, which
we titled "poor." Of the 5 Indian Impact Aid districts, Washington's
data showed that 2 had schools that were unsatisfactory. Of the 47
other school districts, the data showed that 20 districts had schools
that were unsatisfactory.
[18] Of the 24 studies, 14 studies found correlations between school
facility conditions and student outcomes; 9 studies found such
correlations in some cases, but not in others, depending on the
facility variables and outcome variables studied; and 1 study found no
relationship after controlling for poverty status. In this case,
researchers measured the extent of poverty as the percentage of
students in each elementary school that was eligible for free or
reduced price school lunch, a program funded through the U.S.
Department of Agriculture's Food and Nutrition Service. Generally,
students at or below 130 percent of federal poverty guidelines are
eligible for free lunch, and those between 130 percent and 185 percent
are eligible for reduced price lunch. We identify statistically
significant associations as those for which there is less than a 5
percent chance that the differences observed could be accounted for by
chance.
[19] Methodologies such as randomized trials are often impractical, or
even unethical, for studying educational outcomes because some students
would have to be assigned to the control group and would not receive
potentially useful educational goods or services. Nevertheless,
randomized trials are considered to be the best way to test hypotheses
about causal mechanisms and provide more certainty in determining
treatment effects than quasi-experiments and other approximations of
randomized trials.
[20] Outcomes identified in the studies we reviewed included
achievement test scores, speed and error rates when performing specific
tasks, student attendance rates, drop-out rates, and incidence rates of
student misbehavior.
[21] Maureen M. Berner, "Building Conditions, Parental Involvement, and
Student Achievement in the District of Columbia Public School System,"
Urban Education 28(1) (April 1993), 6-29.
[22] Jack Buckley, Mark Schneider, and Yi Shang, "LAUSD School
Facilities and Academic Performance," (National Clearinghouse for
Educational Facilities, Washington, D.C.: 2004). See [hyperlink,
http://www.edfacilities.org/pubs/LAUSD%20Report.pdf] (last accessed on
Dec. 20, 2008).
[23] Lorraine E. Maxwell, "School Building Renovation and Student
Performance: One District's Experience," (Scottsdale, Ariz.: Council of
Educational Facility Planners International, 1999).
[24] Lawrence O. Picus, Scott F. Marion, Naomi Calvo, and William J.
Glenn, "Understanding the Relationship Between Student Achievement and
the Quality of Educational Facilities: Evidence from Wyoming," Peabody
Journal of Education, 80(3) (2005), 71-95.
[25] Cynthia Uline and Megan Tschannen-Moran, "The walls speak: the
Interplay of Quality Facilities, School Climate, and Student
Achievement," Journal of Educational Administration 46(1) (2008), 55-
73.
[26] Valkiria Durán-Narucki, "School Building Condition, School
Attendance, and Academic Achievement in New York City Public Schools: A
Mediation Model," Journal of Environmental Psychology 28 (2008), 278-
286.
[27] For a discussion of efforts to improve teacher quality, see GAO,
Teacher Quality: Sustained Coordination among Key Federal Education
Programs Could Enhance State Efforts to Improve Teacher Quality,
[hyperlink, http://www.gao.gov/products/GAO-09-593] (Washington, D.C.:
July 6, 2009); and Teacher Quality: Approaches, Implementation, and
Evaluation of Key Federal Efforts, [hyperlink,
http://www.gao.gov/products/GAO-07-861T] (Washington, D.C.: May 17,
2007).
[28] Jack Buckley, Mark Schneider, and Yi Shang, "The Effects of School
Facility Quality on Teacher Retention in Urban School Districts,"
National Clearinghouse for Educational Facilities, [hyperlink,
http://www.ncef.org] (February 2004).
[29] C. Kenneth Tanner, "Explaining Relationships among Student
Outcomes and the School's Physical Environment," Journal of Advanced
Academics 19(3) (Spring 2008), 444-471.
[30] Lisa Heschong, Ihab Elzeyadi, and Carey Knecht, "Re-Analysis
Report: Daylighting in Schools, Additional Analysis," (Fair Oaks,
Calif.: Heschong Mahone Group, Feb. 14, 2002). This study assessed
changes in scores from achievement tests taken in the fall and spring
in one district and compared schools' average test scores at the end of
the school year with district average test scores.
[31] Warren E. Hathaway, "Effects of School Lighting on Physical
Development and School Performance," Journal of Educational Research
88(4) (March-April 1995), 228-242.
[32] Taina Taskinen, A. Hyvärinen, T. Meklin, T. Husman, A. Nevalainen,
and M. Korppi, "Asthma and Respiratory Infections in School Children
with Special Reference to Moisture and Mold Problems in the School,"
Acta Paediatrica 88(12) (1999), 1373-1379.
[33] Teija Meklin, T. Husman, A. Vepsäläinen, M. Vahteristo, J.
Koivisto, J. Halla-Aho, A. Hyvärinen, D. Moschandreas, and A.
Nevalainen, "Indoor Air Microbes and Respiratory Symptoms of Children
in Moisture Damaged and Reference Schools," Indoor Air 12(3) (2002),
175-183.
[34] Karl G. Rosén and George Richardson, "Would Removing Indoor Air
Particulates in Children's Environments Reduce Rate of Absenteeism--A
hypothesis" The Science of the Total Environment 234 (1999), 87-93. The
decline in attendance at the smaller center was not statistically
significant.
[35] Greta Smedje and Dan Norbäck, "New Ventilation Systems at Select
Schools in Sweden--Effects on Asthma and Exposure," Archives of
Environmental Health 55(1) (January/February 2000), 18-25.
[36] Pawel Wargocki and David P. Wyon, "Research Report on Effects of
HVAC on Student Performance," ASHRAE Journal 48(10) (October 2006), 22-
28 (American Society of Heating, Refrigerating, and Air-Conditioning
Engineers, Inc.) The study compared results from ventilation systems
providing 3.0 and 9.5 liters per second, per person. Error rates
declined significantly for one numerical task, but not for other tasks.
[End of section]
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