Data Analysis & Disproportionality Nancy Fuhrman & Dani Scott Wisconsin Department of Public Instruction.

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Presentation transcript:

Data Analysis & Disproportionality Nancy Fuhrman & Dani Scott Wisconsin Department of Public Instruction

2 Presentation Topics  Criteria  ISES  Data Categories  Mining your Data

3 Criteria  A total enrollment of 100 students for any given racial group;  There must be 10 students with disabilities in the particular racial group in question; and  The specific criteria must be met for three consecutive years

4 Additional Criteria  Risk levels for a racial group that are 1% or higher than the state risk for White students  Weighted risk ratio that is at least 2.0 times compared to risk for all others in the district  Other criteria may be applied depending on unique circumstances

5 Individual student data is collected for:  Federal Reporting Requirements  State Reporting Requirements  School Improvement  District Profiles  Longitudinal (Trend) Data Study  Consolidation of Data Collections

6 Aggregation of Student Data:  to meet other state requirements,  to meet federal data requirements, and  to answer key school improvement questions.

7 WSLS An ongoing data collection maintained throughout the year that is used: 1)to assign new Wisconsin Student Numbers (WSNs) to students entering Wisconsin Public Schools and 2)to help ensure that the WSNs stay with students as they move from school to school and district to district.

8 ISES Count Date & Year End An annual data collection encompassing: 1)fall public enrollment and Child Count, 2)year end indicators from the immediately preceding school term, such as high school completion, dropouts, attendance, and grade advancement, and 3)demographic and outcome data for the school population defined by the WSLS.

9 ISES Discipline An annual data collection for a subgroup of students: 1)removed by expulsion, 2)removed for ½ a day or more for out of school suspensions, 3)with disabilities removed for ½ a day or more for in-school suspensions or placement in an interim alternative educational setting, and 4)the incident information associated with these removals.

10 ISES On-line Applications  Count Date 09/19/08  Year End Exit Data for  Discipline Disciplinary Removals for  Child Count 10/1/08

11 Data Categories  Demographic Information  Enrollment Information  Disability Status and Services Provided  District and School responsible for FAPE  Reason for Exit from School  End of Year Information  WSAS and ACCESS for ELLs Roster Labels  Disciplinary Removals

12 Demographic Information  Race / Ethnicity  Gender  Date of Birth  Grade  Economically Disadvantaged Status  English Language Proficiency Code & Native Language  Immigrant Status (Title III)  Homeless Status  Referral & Placement – Not reported

13 Enrollment Information  District  School  Enrollment and Exit Dates Current and historical  Third Parties responsible for providing services WI State Schools, CCDEB, etc.

14 Disability Status and Services Provided  Primary Disability  Secondary Disabilities  Educational Environment Classification  Status on Count Date Indication of whether the student was receiving educational services  Program Schedule 4 yr old and 5 yr old Kindergarten  Payer Information Provided by source other than district

15 End of Year Information  Attendance  Promotion / Retention  Indicator of Completion of School Term

16 Disciplinary Removals  Incident Primary and Secondary Type Date  Removal Type Date School Days Removed from Current Term Expulsion Terms  Return Year  Early Reinstatement Conditions  Services Provided during Expulsion  Return to School after Expulsion  Modified Term for Firearms incidents

17 ISES Progress and Summary Reports  Third Friday of September Enrollment  Graduation Rate  Dropout Summary  Attendance Rate  Retention Rate  WSAS Roster Report

18 Reports

19

20 View By Options  Gender*  Race/Ethnicity*  Disability Status*  Econ Disadv Status*  ELL/LEP Status*  All *d Variables  Primary Disability Code  Econ Disadv Code  Eng Lang Prof Code  Grade Level  District Residency  3rd Party Provider  Accountability Status  Age on Count Date  No Option Selected

21 Third Friday of September Enrollment

22

23 Graduation Rate

24 Dropout Summary

25 Attendance Rate by Race/Gender

26 Retention Rate by Race/Gender

27 Exporting Data from ISES  Files generated from the ISES ‘File Download Request’ function may be used to review student data.  The ‘Baseline Data’ option will return only student submitted by your district.  The ‘Reporting Data’ option will return all students for which your district is accountable.

28 File Download Request

29

30

31

32 Getting More Information  WSLS:  ISES:  October 1 Child Count:  Correspondence to Districts: