Judging Student Achievement: Why Getting the Right Data Matters
- Organizations: National Center For Educational Achievement, MPR, Inc.
- Date: 09/2005
- Description: No Child Left Behind offers a useful framework for thinking about the kinds of data needed to identify students having difficulty meeting standards and to document school progress in closing the achievement gap over time. This issue brief discusses the benefits and questions that can be answered by longitudinal data.
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- Longitudinal Data System
- Academic Growth
- Element 1: Statewide Student Identifier
- Element 2: Student-Level Enrollment Data
- Element 3: Student-Level Test Data
- Element 4: Information on Untested Students
- Element 5: Statewide Teacher Identifier with a Teacher-Student Match
- Element 6: Student-Level Course Completion (Transcript) Data
- Element 7: Student-Level SAT, ACT, and Advanced Placement Exam Data
- Element 8: Student-Level Graduation and Dropout Data
- Element 9: Ability to Match Student-Level P-12 and Higher Education Data
- Element 10: A State Data Audit System