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Learn to define, measure, and improve student performance in high schools using effective performance measurement systems. Understand key NCLB elements, graduation rates, and essential terminology. Gain insights on data analysis, measurement criteria, and using results for school improvement.
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Archived Information Using State Data toAchieve Performance Goals REGIONAL HIGH SCHOOL SUMMITS MPR Associates, Inc. www.mprinc.com March-May 2004
Effective Performance Measurement Systems • Define valid and reliable measures of student performance • Use appropriate analytic methods • Promote school improvement
Essential Elements of NCLB • Adequate Yearly Progress • Assess state, district and school achievement over time • Identify schools in need of improvement • High School Performance Measures • Student achievement • Graduation rates
Essential Elements of NCLB • State Accountability System • Single system • Statistically valid and reliable • Populations • All Students • Subgroups of students
High School Graduation Rate In 2000, the high school graduation rate was 86 % • How is graduation determined? • How is student mobility treated? • When does measurement occur?
Measurement Criteria • Statistically valid systems • Single measurement approach • Accurate over time • Reliable data • Measure Construction • Fair • Useful
Unpacking the Data Aggregate statistics can conceal useful information. Making the most of your data requires: • Identifying issues of concern • Disaggregating variables • Controlling for factors affecting outcomes
Example: NCLB Graduation Rate State and District Graduation Rate State District Grad. Rate 86 % 84 % Race-ethnicity White 89 90 Black 84 78 Hispanic 78 68
Example: NCLB Graduation Rate(continued) State and District Graduation Rate Urban State District Districts Grad. Rate 86 % 84 % 82 % Race-ethnicity White 89 90 86 Black 84 78 78 Hispanic 78 68 62
Example: NCLB Graduation Rate(continued) District and School Graduation Rates District School A School B Grad. Rate 84 % 92 % 78 % Race-ethnicity White 90 93 80 Black 78 94 74 Hispanic 68 NA 68
School Practices School Practices Student Outcomes Student Outcomes School Inputs School Inputs A General Model for Examining Student Outcomes Good Evaluation Focuses on more than Student Outcomes: Data on School Practices and Inputs are Also Essential
Essential Control Variables Examples: • School Practices • Curricular offerings and rigor • Class scheduling • Professional development • School Inputs • Student demographics • Size and urbanicity • Teacher experience
Additional Data Sources… …can provide a broader picture of student performance Examples: • Student Transcripts • Attendance • Subject area grades • Curricular rigor • Mobility & retention
Improving Usability • User-tested reporting • Dedicated time for reflection and strategic planning • Building analytic capacity among teachers and administrators • Periodic feedback for overall design of state and local data systems
Effective Performance Measurement Systems • Track: Produce valid and reliable data on school and student outcomes • Analyze: Provide policy relevant information across a range of variables • Improve: Assist policymakers and educators in making better decisions