Significant Disproportionality: Information and Expectations - PowerPoint PPT Presentation

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Significant Disproportionality: Information and Expectations

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Title: Significant Disproportionality: Information and Expectations


1
Significant Disproportionality Information and
Expectations
  • Oregon Department of Education
  • Dianna Carrizales Sara Berscheit

2
Disproportionality
and
Overrepresentation
3
This module looks at...
  • Defining disproportionality
  • Why disproportionality is on the front burner
  • IDEA 2004s provisions
  • Determination of significant disproportionality
  • Resources for SEAs and LEAs

4
What is Disproportionality?
  • of students of a specific ethnicity or race

Overrepresentation
In special education
In schools population
5
What is Disproportionality?
  • of students of a specific ethnicity or race

Underrepresentation
In special education
In schools population
6
Statistics
  • African-American childrenTwice as likely as
    Whites and American Indians/ Alaskan natives to
    be identified as having mental retardation.
  • African-American childrenHalf again more likely
    than White students to be classified with
    emotional disturbance.

7
Post-School Outcomes
  • Unemployed 2 years out of high school

75 African-American students 47 White
Still not employed 3-5 years out of school
52 African-American young adults 39 White
young adults
40 African-Americans with disabilities 27
Whites with disabilities
Arrest rate
8
Why?
Some Hypotheses
  • Failure of general education to educate children
    from diverse backgrounds
  • Misidentification, misuse of tests
  • Lack of access to effective instruction
  • Insufficient resources
  • Teachers who are less well prepared
  • Poverty

9
What States Must Do
  • 300.173

10
What States Must Do
  • 300.646

11
Defining Significant Disproportionality
State defines for LEAs and for state in general
State determines criteria for what level of
disproportionality is significant
12
Determining Significant Disproportionality
Is based on collection and examination of data --
-- and not on a districts policies, procedures,
or practices.
13
How do you measure disproportionality?
Technical Assistance Guide fromU.S. Department
of Education
www.ideadata.org/docs/Disproportionality20Techni
cal20Assistance20Guide.pdf
14
What happens if theres a determination of
significant disproportionality?
15
For Determinations of Significant
Disproportionality
  • States must
  • Provide for the review and revision (if
    appropriate) of policies, procedures, and
    practices used in identification or placement of
    children

Do they comply with requirements of IDEA?
16
For Determinations of Significant
Disproportionality
  • States must
  • Require LEAs to use 15 of Part B funds for
    early intervening services

particularly, but not only, for children in
those groups significantly overidentified.
17
For Determinations of Significant
Disproportionality
  • The LEA must
  • Publicly report on the revision of policies,
    practices, and procedures

18
IDEA 2004
  • Disproportionality is now 1 of 3 monitoring
    priorities.
  • States must monitor LEAs levels of
    disproportionality.

19
Reporting
  • States must annually report under 6-year State
    Performance Plan (SPP) on

of districts with DR of racial and ethnic groups
in special education and related services
that results from inappropriate identification.
in specific disability categories
20
What Disability Categories?
mental retardation specific learning disabilities
emotional disturbance speech or language
impairments other health impairments autism
21
Sources of Technical Assistance
  • IDEA authorizes and supports
  • Technical assistance
  • Demonstration projects
  • Dissemination of information
  • Implementation of scientifically based research

www.nccrest.org
22
NCCRESt Resources
www.nccrest.org
How-to guides.
  • Data maps.

Practitioner briefs.
23
Oregons Formula for Identifying Significant
Disproportionality
  • Formula is posted online
  • http//www.ode.state.or.us/schoolimprovement/accou
    ntability/monitoring/sigdispthreshjust.doc
  • Data Collections used
  • Special Education Child Count (SECC)
  • Total special education population
  • Total special education population for each
    primary disability
  • Total special education population for each
    federal placement
  • Discipline Incidents
  • Total special education population who received
    long-term suspensions/expulsions
  • Cumulative ADM (First Period)
  • Total student population

24
Important changes Race/ethnicity reporting
requirements
  • All student-level collections are now utilizing
    the two-part Race/Ethnicity question
  • Ethnicity
  • Hispanic/Latino (Yes/No)
  • Race
  • American Indian or Alaska Native (Yes/No)
  • Asian (Yes/No)
  • Black or African American (Yes/No)
  • Native Hawaiian or Other Pacific Islander
    (Yes/No)
  • White (Yes/No)
  • Declined to Report is no longer an option
  • At least one Race must be reported (Yes)
  • Multiple Races can be reported (Yes) for all
    collections

25
Important changes Race/ethnicity reporting
requirements
  • All Race/Ethnicity reporting by ODE will be
    revised
  • If Hispanic/Latino Yes Race/Ethnicity
    Hispanic/Latino
  • If Hispanic/Latino No, and two or more Races
    Yes Race/Ethnicity Two or More Races
  • If Hispanic/Latino No, and only one Race Yes
    Race/Ethnicity the one Race

26
Helpful links
  • Dispropotionality under IDEA http//idea.ed.gov/e
    xplore/view/p/2Croot2Cdynamic2CTopicalArea2C7
    2C
  • Technical Assistance Guide from U.S. Department
    of Education www.ideadata.org/docs/Disproportiona
    lity20Technical20Assistance20Guide.pdf

27
Contact Information
  • Dianna.Carrizales_at_state.or.us
  • (503)947-5634
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