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The Effective School Districts
Annual Reports
The first analysis of school district
effectiveness came out in February of 1999 and evaluated
the 1998 MCAS in terms of district demography. The second
report was released in February 2000 and considered
the 1999 MCAS. The central tool of these analyses is
the Effectiveness Index methodology that examines the
relationship between selected community demographic
characteristics and educational outcomes. These characteristics
include: average education level, average income, poverty
rate, single-parent status, language spoken, and percentage
of school-age population enrolled in private schools.
These variables were chosen because they correlate with
achievement and because the education literature identifies
them as connected to academic performance. (See Appendix
F for information on the Effectiveness Index.)
Researchers ranging from James Coleman
in the 1960s to James Comer in the 1990s have demonstrated
that community demographics play a major role in how
well children do in school. The Effectiveness Index
model provides a means of isolating the role played
by community characteristics concerning student performance
on statewide educational assessments. With a community's
achievement context factored into its test results,
it is possible to know how much value school systems
add to demographic expectations. In the absence of a
methodology to control for the demographic diversity
of Massachusetts, listing MCAS scores primarily demonstrates
the relative advantage or disadvantage that community
characteristics bring to students. Any raw ranking order
of MCAS scores reflects district demography much more
than it represents anything else. A sorting of MCAS
results would tell us more about local real estate values
or the percentage of SUV ownership in a community than
it would about school quality.
The Effectiveness Index identifies
school districts that add value to the learning readiness
of their students as indicated by higher-than-demographically-predicted
test scores. Identifying such systems is a first step
to determining if they are indeed providing more effective
educational services to their students. Identifying
best practices in effective systems that are demographically
similar to less effective systems may help those systems
improve their school services.
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