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Reporting and Evaluation Basics Stephanie Lampron, NDTAC. Part D Basic Reporting and Evaluation Requirements. Where do requirements come from? Elementary and Secondary Education Act, amended in 2001 (No Child Left Behind) Purpose of Title I, Part D (Sec. 1401)
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Reporting and Evaluation Basics Stephanie Lampron, NDTAC
Part D Basic Reporting and Evaluation Requirements Where do requirements come from? • Elementary and Secondary Education Act, amended in 2001 (No Child Left Behind) • Purpose of Title I, Part D (Sec. 1401) • Program evaluation for Title I, Part D (Sec. 1431-Subpart 3) • Both subparts have same requirements How does ED use the data? • Government Performance and Results Act (GPRA) • Federal budget requests for Title I, Part D • Federal monitoring
Additional Users and Viewers of the Data You Provide • ED Data Express: www.eddataexpress.ed.gov • ED CSPR Data: www2.ed.gov/admins/lead/account/consolidated/index.html • NDTAC State Fast Facts Pages: http://data.neglected-delinquent.org/index.php?id=01 • Title I, Part D, Annual Report: • NDTAC: www.neglected-delinquent.org/nd/data/annual_report.asp • ED: www2.ed.gov/programs/titleipartd/performance.html
NDTAC’s Role in Reporting and Evaluation Specific to Title I, Part D, Collections • TA Prior to Collection Webinars, guides, and tipsheets • TA During Collection Data reviews, direct calls, and summary reports for ED • Data Analysis and Dissemination GPRA, Annual Report, and online Fast Facts Related TA • Data use and program evaluation
Why Are Data Valuable to You and Your Programs? Common Program Activities • Needs assessments • Subgrantee monitoring • Application reviews • Program evaluation • Educating others about programs Quality data can be used to provide objective information across a number of aspects of Title I, Part D, administrative activities.
TA Lessons: Tension Points for Part D Data Quality 2C 2D 1A 1B LEA 1 S2 SEA State Agency S1 LEA 1 S2 • Across all: • Individuals • Collection systems 2E USED
Individual Programs: Where Data Quality Begins • If data quality is not a priority at the local level, the problems become harder to identify as the data are rolled up. • If data issues are recognized late in the process, it is more difficult (and less cost effective) to identify where the issues are and to resolve them.
Role of the Part D Coordinator • Ultimately, coordinators cannot “make” the data be of high quality, but you may be able to implement systems, practices, processes, and/or policies that make high quality a better possibility. • Understand the collection process • Provide TA in advance • Develop relationships • Develop multilevel verification processes • Track problems over time • Use the data • Link funding decisions to data evidence