CCSD Discipline Analysis 2010-2011 Daniel Reschly  Disciplinary Infractions 58 categories used.

Slides:



Advertisements
Similar presentations
Office of Special Education and Rehabilitative Services United States Department of Education O S E R S Disproportionality What Is It? What Can We Do About.
Advertisements

Creating Freshmen Success Task Force Report High School Study Session Board Presentation January 30, 2007.
Durham Public Schools: District Implementation of Positive Behavior Support Jennifer Snyder November 13, 2006 NASDSE Conference Williamsburg, VA.
IDEA Reauthorization and Disproportionality Sammie Lambert, DECS KYCASE Summer Institute Lexington, Kentucky July 16, 2007.
DISPROPORTIONALITY DATA GUIDE Using Discipline Data within SWPBIS to Identify and Address Disproportionality Session B9 Kelsey R. Morris, EdD—University.
ADDRESSING SUSPENSIONS. California Department of Education Safe & Healthy Kids Program Office Suspension Information for California ~6,246,138.
1 NAEP th Grade Economics Assessment. 2 ► First NAEP assessment of economics ► Content areas: market economy, national economy, and international.
How do LaSalle County Children Enter the Child Welfare System? LaSalle County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement20755%
Who lives in Rock Island County? Rock Island County Demographics by Race and/or Ethnic Group, 2009 estimate N = 148,826 White113, % Black or African.
How do McLean County Children Enter the Child Welfare System? McLean County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement23350%
How do Champaign County Children Enter the Child Welfare System? Champaign County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement22548%
How do Sangamon County Children Enter the Child Welfare System? Sangamon County Indicated reports FY 2010 SourceNumber Percent of total Law enforcement21638%
Mark DeCandia Kentucky NAEP State Coordinator
Transforming School with Local Stakeholders: Learning Labs for Culturally Responsive Behavioral Supports Aydin Bal Rehabilitation Psychology and Special.
Response to Intervention How to Monitor RTI Reading Interventions Jim Wright
Absenteeism in Tennessee schoolsAbsenteeism in Tennessee schools Mary BatiwallaMary Batiwalla Office of Research and PolicyOffice of Research and Policy.
School, Family & Community Partnerships Safe and Supportive Schools Resolution SFUSD.
Grade-level Benchmark Data Meetings
Behavior, Discipline and Students with Disabilities
How Does Secondary Education in Louisiana Stack up? Presented by Dr. Bobby Franklin January 31, 2005.
Manifestation Determination and Bullying
DATA PRESENTATION February 5, 2008 ARE WE IMPROVING? WAS 2007 BETTER THAN 2006?
1 Results for Students and Individuals with Disabilities September 2008.
Midcourse Assessment of Healthy People 2010 Goal II Suzanne P. Hallquist, MSPH Kenneth G. Keppel, PhD National Center for Health Statistics Centers for.
Monitoring Significant Disproportionality in Special Education Systems Performance Review & Improvement Fall Training 2011.
Oregon’s K-12 ELL/SPED students: Data & outcomes.
Salt Creek School District 48 Annual ISBE School Report Card Board of Education Report October 30, 2012.
Data Analysis & Disproportionality Nancy Fuhrman & Dani Scott Wisconsin Department of Public Instruction.
10/17/2015 State Board of Education 1 ANNUAL REPORT ON GIFTED AND TALENTED EDUCATION Academic Year
WE CAN’T TEACH WHO WE DON’T KNOW DR. LISA WILLIAMS OFFICE OF EQUITY AND CULTURAL PROFICIENCY Culturally Responsive Instructional and Disciplinary Practices.
What do we call a person who can read a billboard at 80 mph? An Accelerated Reader. An Accelerated Reader.
English Language Arts (ELA) & 2007 English Language Arts (ELA) Total Public In grades 5-8, the percentage of students meeting the ELA Learning.
From Screening to Verification: The RTI Process at Westside Jolene Johnson, Ed.S. Monica McKevitt, Ed.S.
Diversity in Special Education. What is Diversity Diversity is about difference – students in special education vary in many ways, and those in regular.
Data on Foster Children Attending Texas Public Schools Updates May 8,
Data Analysis MiBLSi Project September 2005 Based on material by Ed Kameenui Deb Simmons Roland Good Ruth Kaminski Rob Horner George Sugai.
Required Services, Procedures, and Data Presented by Scott Hall 2009 Special Education Fall Conference Suspension & Expulsion.
Kentucky Continuous Monitoring Process Spring 2012.
ISES Discipline Collection Fall 2007 – Segment 1.
Courtney Russell EDIT 6900 Spring  Introduction Background for the Study Purpose of the Study Research Questions Significance of the Study  Review.
Positive Behavioral Interventions & Supports (PBIS): A School-wide Approach to Systems Change Angela Byrd-Wright, Ed.S. – Principal Lindsay Middle School.
AARRGGHH!! Data Analysis! Just Do It For Me & Tell Me What It Says! Laura Boudreaux Pitre Merry Jane Bourgeois WORKING DRAFT 5/24/06.
1. Chapter Three Cultural and Linguistic Diversity and Exceptionality 2.
Special Education Plan Feedback Sessions. Agenda Welcome and Introductions Department of Student Services Purpose Why are we updating the Special Education.
Health is Academic! Collaborative Conference on Student Achievement Conference April 19, 2011.
California State University, Sacramento Nancy Shulock Institute for Higher Education Leadership & Policy Presentation to Conference: Policy Challenges.
“Males of Color” Initiative A Presentation to the Providence School Board May 11, 2015.
Semester Discipline Data Data Source: District Online Discipline System December 15,
Significant Discrepancy in Suspension and Expulsion Rates in West Virginia: Barriers to Implementation of Discipline Policy and Procedures November 15,
1 School Improvement & Accountability Update for P.S. Jones Middle Presented by: Tracey Nixon Principal.
Winston-Salem/Forsyth County Schools Discipline Data Report Board of Education September 11, 2012 Charlie McCurry, Jr.
District Name FOCUS AND PRIORITY SCHOOLS SIP – CYCLE # REVIEW SCHOOL NAME DATE 1.
Richard Woods, Georgia’s School Superintendent “Educating Georgia’s Future” gadoe.org Richard Woods, Georgia’s School Superintendent “Educating Georgia’s.
IMPACT OF READ NATURALLY SUMMER AND FALL 2013 ACTION RESEARCH PROJECT AND EDU604 CULMINATION PROJECT DOANE COLLEGE SUE SCHLICHTEMEIER-NUTZMAN, PH.D. By.
Johnson Middle School Johnson Middle School SCHOOL PROFILE 700 Student Population Virginia Public Schools Grades Number of Classrooms:28.
Required Services and Procedures for Students with Disabilities Presented by Scott Hall and Ty Manieri 2010 Oregon Special Education Fall Conference Eugene,
UPDATE ON DISPROPORTIONATE DISCIPLINE DATA August 25, 2015.
Derby High School Connecticut Academic Performance Test Derby High School 2011 Connecticut Academic Performance Test Disaggregated Data Analysis.
Performance and Progress 2012/2013. Why We Do an Annual Data Presentation To assess the Levy’s performance in various categories against goals. To highlight.
Q2 Benchmark Report1 Lodi Unified School District Benchmark Assessment Results (Mid-Year Student Achievement Monitoring) Prepared by.
RETHINK DISCIPLINE #RETHINKDISCIPLINE WHITE HOUSE CONVENING 2015 KIM STEVENSON, DISTRICT DISCIPLINE ADMINISTRATOR HEATHER LANCASTER, COMMUNICATION DIRECTOR.
DATA ANALYSIS WRITING CHAPTER FOUR. Chapter Four, Data Analysis, is the section of the thesis for the action research study that provides the reader with.
Agenda Part I Recap of the Final Rule Part II Standard Methodology Part III Remedies Part IV Dates Part V Questions.
New laws and Best Practices
OVER-IDENTIFICATION OF STUDENTS FOR SERVICES: Special education
Data Collection Challenge:
Academic Report 2007/2008 AYP.
The Charleston-Institute (WV) Chapter of the Links, Inc.
Significant Disproportionality Stakeholder Meeting
Significant Disproportionality
Presentation transcript:

CCSD Discipline Analysis Daniel Reschly  Disciplinary Infractions 58 categories used in CCSD Broad range of severity  Analysis by gender and race/ethnicity  Middle and High Schools included  Limitations in data acknowledged throughout Reschly1

Analyses  Statistics used N=Number Risk=Percent of population Relative Risk=Risk of one group compared to the combined risk for other groups Composition Reschly2

Problems with Interpretation of Composition Hispanic students are 15% of the district enrollment, but 30 percent of the discipline infractions. What percent of Hispanics are charged with disciplinary infractions 1% 5% 10% 15%30% 45% Reschly3

4 173 ÷ ( )÷( ) Black Aggressive Behavior Black Population Combined Population for 6 groups=138,812 Combined aggressive Behaviors for 6 groups=424 Relative Risk Determination: Comparing the risk for one group to the combined risk for all other groups (See p. 8-9) 173 ÷ ÷ = 2.7 Relative Risk=2.7

Reschly5 GroupPop N Pop Compo sition % Aggress ive Beh. N RiskRelati ve Risk Compos ition Aggress ive Beh. AI/AK1,3671%5NA 0.8% Asian12,2908%150.1%0.32.5% Black20,74413%1730.8% % Hispanic63,12540%1800.3% % Haw/PI2,0511%8NA 1.3% Two or More 7,0074%300.4%1.25.0% White52,97233%1860.4% % Total159,556100%5970.4% 100%

Infractions Leading to Suspension (note limitation)  Male students overrepresented at >2 in 33 of 58 disciplinary infractions  Females in one (cyber bullying)  Black students in 22 of 58  Hispanic in 2  Other groups not overrepresented Reschly6

Infractions Leading to Suspension (note limitation, See Table 4 and p. 19)  Likelihood of Suspension by Group (Table 4 with summary on p. 19) Hispanic more likely in 6 infractions White students in 5 infractions American Indian/AK Native in 2 infractions Black in 2 infractions ≥2 Groups in 2 infractions Hawaiian/PI in 1 infraction  Summary: Black students have higher rates of infractions, but are not more likely to be suspended than other groups Reschly7

8 Race/Ethnicity Analyses Severe Disciplinary Infractions Race/Eth Disprop RR Race/Eth Disprop RR Violence to School Staff Black4.2 Black3.0 Violence to Student Black3.2 Black4.2 ExtortionBlack6.2 NoneNA ArsonNoneNA Black3.5 Possession of Weapon NoneNA NoneNA Removal Weapon/ Drug NoneNA NoneNA TheftBlack2.7 Black2.6 BatteryBlack3.0 Black4.1 BullyingBlack2.1 NoneNA VandalismNoneNA NoneNA Immoral Conduct Black2.5 NoneNA

School Withdrawal Outcomes  Most serious-involve change of school location and interruption of instruction Mandatory Behavior Program: Moved to alternative education program for 4-9 weeks, can return to original school Expulsion Modified to Conditional Enrollment: Expulsion referral modified to placement in a mandatory behavior program-return to comprehensive campus Expulsion Board Action: Expelled for minimum of 18 weeks, placement in the continuation school, followed by trial enrollment in a comprehensive campus Reschly9

10 Discipline Outcome Race/Eth Disprop RR Gender RR Suspension Black2.2 NoneNA Required Parental Conference Black2.1 NoneNA Mandatory Behavior Program Black2.3 Male2.3 Expulsion to Conditional Enrollment Black2.2 Male2.6 Expulsion by Board Action Black2.7 Male3.6 SWD-Required Behavior Program Black2.3 Male4.4 SWD-Expulsion to Conditional Enrollment Black4.1 Male5.3 SWD-Expulsion Board Action Black5.8 Male6.2 Summary Disciplinary Outcomes Middle and High Schools

Analyses by Disciplinary Outcomes by School Level and CCSD Area  School Level: Generally, disproportionate at both levels by gender and race/ethnicity  CCSD Areas levels of disproportionality were generally consistent, disproportionality by gender and race/ethnicity found consistently in Areas 1, 2, and 3  Substantial overrepresentation of students with disabilities by gender and race/ethnicity Reschly11

Interpretation of Results  Significant Issue Needing Attention!!  Analyze carefully potential explanations  Avoid extreme conclusions and simple explanations Avoid Extremes Reschly12 Blame Kids and Community Blame Schools and Educators

Identify Additional Information and Explore Interventions Needed  Change culture and expectations for both schools/educators and parents/students/community  Prevention and Early Intervention Reading Mathematics Behavior  Explore programs like Positive Behavior Supports and Safe and Civil Schools Reschly13

Limitations of Discipline Outcome Results  Limited to middle and high schools  Do not have reasons for school withdrawal disciplinary outcomes  Desirable to have data by both gender and race/ethnicity for more precise analysis  Summarized only 1 school withdrawal per student, e. g., in mandatory behavior and expulsion-conditional enrollment counted as 1 case  No equal treatment comparison data  Subject to different interpretations Reschly14

Systematic Process of Change  Good baseline data  Goals, systematic improvement over time Challenging, realistic, achievable Public reporting by CCSD units  Alliance of community, students, schools, and teachers required Reschly15

Reschly16 Percent Proficient Baseline: Average of Prior 5 years Goal: Raise Proficiency by 5% per year Figure 5. Mathematics Proficiency Goal and Progress

17 KTG: Initial Sound Fluency Fall to January. Benchmark: Winter KTG 25 sounds correct/min. New KTG Teacher and Traditional Instruction Results for class are not satisfactory Must improve curriculum, instruction or both On all class-wide graphs look at level and progress Water Line Reschly

18 KTG: Initial Sound Fluency Fall to January Benchmark: Winter KTG 25 sounds correct/min. Experienced Teacher Direct Instruction Results for class are satisfactory. Can Use results to assess individual student risk Water Line Reschly

19 Phoneme Seg. Fluency: Jan to May Benchmark: 35 correct New KTG Teacher and Traditional Instruction Results for class are not satisfactory. Must improve curriculum, instruction or both Water Line Reschly

20 Phoneme Seg. Fluency: Jan to May Benchmark: May 35 per minute Experienced Teacher Direct Instruction Results for class are satisfactory. Can Use results to assess individual student risk Water Line