Indicator 10: Disproportionality-Eligibility Category – Percent of districts with disproportionate representation of specific racial/ethnic groups in specific disability categories that is the result of inappropriate identification.
Data Source: NJSMART (Collection Dates: November 2009, October 2010, October 2011) | |||||||||||||||||||||||||||||||||||
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NJOSEP defined disproportionate representation from both a functional and statistical perspective Functional Definition: Implementation of policies, procedures, and practices in the general education instructional, behavioral, and intervention process and/or the special education identification, referral, evaluation, or eligibility determination process that results in a Statistical Definition - NJOSE used multiple measures to statistically determine disproportionate representation. The measures included three descriptive statistics: unweighted risk ratio; risk rate comparison; and a measure of impact comparing expected vs. observed numbers of students identified as eligible for special education. The measures also included a statistical test of significance - chi square. Districts were ranked on each of the three measures for a three year period (2009-2010 , 2010-2011, and 2011-2012). For the purpose of identifying districts with disproportionate representation (over-representation/under-representation) of racial/ethnic groups in specific disability categories, NJOSE: - applied the chi-square to this pool of districts (regardless of rank) for each racial-ethnic group and for the disability categories of specific learning disability, mental retardation, other health impaired, emotionally disturbed, language impaired, and autism; and
- applied a measure of impact comparing expected vs observed numbers of students identified as eligible for special education.
Districts in which the impact was greater than 10 students were identified as having a “disproportionate representation” of racial and ethnic groups in specific disability categories. The procedure used one statistical test of significance and one statistical procedure.
The steps followed in the analysis: - Select the districts which were already identified as having discrepancies in all categories for a particular race - ethnicity
- Calculate the chi square test on the above districts using 6 X 2 Matrix as below.
MR SLD ED LI OHI AUT Black Classified All others Classified
- Choose all those districts whose Chi-Value is more than cutoff value of 11.07.
- Calculate “Observed – Expected” count of students in individual categories such as MR, SLD etc. for the above selected districts.
District Observed Expected (Observed-Expected) ABCD XX YY XX-YY
- Choose the districts for significant discrepancy in individual category if their “Observed – Expected” count is at least 10 for the above categories i.e. MR, SLD, ED etc.
District (Observed – Expected) >10 ABCD XX-YY YES
- Local districts that were identified for disproportionate representation completed a self-assessment review of district policies, procedures and practices and identified areas that may be contributing to disproportionate representation. Based on that review they have developed an improvement plan to address areas of compliance and/or continuous improvement.
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