mckinney-vento education for homeless children and youth program (ehcy) improving the quality of lea...
TRANSCRIPT
McKinney-Vento Education for Homeless Children and Youth Program (EHCY)
Improving the Quality of LEA Level Data
February 28, 2013
Prepared for:Office of Elementary and Secondary Education,
U.S. Department of Education
Prepared under the Data Quality Initiative contract (ED-PEP-11-C-0062) for Policy and Program Studies Service, U.S. Department of Education
Presentation Overview
2
1. The Data Quality Initiative2. Purpose and Approach of the Data
Quality Review3. Data Quality Review Topics4. Sample Data Review5. Next steps
The Data Quality Initiative (DQI)….
3
Provides assistance to the U.S. Department of Education PK-12 programs and grantees to improve the quality and use of program performance data for GPRA reporting and performance management,
Is overseen by the U.S. Department of Education’s Policy and Program Studies Service (PPSS) in the Office of Planning, Evaluation and Policy Development (OPEPD),
Is conducted by Westat and Compass Evaluation and Research.
Purpose and Approach of the Data Quality Review
4
Focus on LEA-level data
Identify potential data problems (e.g., outliers)
Develop guidance and TA to allow states to conduct data analyses
Inform target monitoring and assistance to LEAs
Improve quality of LEA data
Purpose and Approach of the Data Quality Review
Data SourcesAnalysis based on data that states already report:
The Consolidated State Performance Report (CSPR), and
The Common Core of Data (CCD) submitted through EDFacts.
5
Purpose and Approach of the Data Quality Review
Data ChecksInconsistent data
Data for primary nighttime residence vs. enrolled (do totals match, are the same grades reported?)
Incomplete data Do all Local Education Agencies (LEAs) report data?
Inaccurate data Typos: numbers transposed or wrong numbers entered Number of students instead of number of subgrants
6
Data Quality Review Topics
7
1. Do LEAs with similar characteristics report similar numbers and percentages of homeless students enrolled in their schools?
2. Do LEAs with similar characteristics report similar numbers and percentages of homeless students served by McKinney-Vento?
3. Do LEAs with similar characteristics report similar rates of academic proficiency among their homeless students? How do these rates compare to the student body as a whole?
4. Do LEAs with similar levels of certain characteristics report similar rates of academic proficiency among their homeless students? How do these rates compare to the student body as a whole?
8
Sample Data Review
9
The next five slides contain Sample results of a data review, Showing the composition of homelessness at the
national, state, and LEA level.
These slides will examine data in different characteristics, to provide context to the outlier analysis.
Sample Data Review: Geography (across nation, by Census regions)
10 These are sample data, and are for illustration only. Please do not cite them.
Sample Data Review: Geography(across states, within a region)
11 These are sample data, and are for illustration only. Please do not cite them.
Sample Data Review: Poverty
12 These are sample data, and are for illustration only. Please do not cite them.
State F average
Sample Data Review: Locale
13 These are sample data, and are for illustration only. Please do not cite them.
State F average
Sample Data Review: LEA size
14 These are sample data, and are for illustration only. Please do not cite them.
Next steps
15
Continue the data quality review, Identify common issues, and Develop technical assistance to help states,
including: Report templates for SEA staff to use with LEA data
(Sept. 2013) Training to help states review and analyze LEA data
(future) Additional tools for reviewing data across years (future)
Work with you to identify and address existing and future data issues.
16
Questions?
Comments?
Suggestions?
