Archived Resources

On Tuesday, February 23, 2016,  OSEP, ESB, and PSC presented the EMAPS IDEA Part C Child Count and Settings Survey Webinar.

The purpose of this webinar was to review the procedures for submitting this survey, including the new cumulative counts for race/ethnicity and gender, new additional year-to-year rows, and change in the email notifications. The final slides are available to review here: https://edfacts.grads360.org/#communities/pdc/documents/10065

The webinar provided an overview of survey methodology data issues. It was designed to help participants improve their knowledge about survey development and testing, representativeness, and response rates related to family surveys in Part C and Part B. The webinar was designed for individuals involved in measurement of Indicators C4 and B8 and those interested in survey methodologies as part of the SSIP.

The report presents a national quantitative picture of the implementation of Part C of IDEA based on a review of FFY 2012 APRs for 56 states and jurisdictions.

The presentation providing guiding questions to help states connect SSIP Phase I and Phase II planning.

The presentation focuses on how to use high quality data to support effective implementation. Information highlights informed use of data for decision making and improvement and the conditions under which high-quality data can make the most difference.

This is a recording of a presentation focusing on how to use high quality data to support effective implementation. Information highlights informed use of data for decision making and improvement and the conditions under which high-quality data can make the most difference.

Validity is about more than results—it is determined by the question asked, the data collection design, and analysis. In this session, presenters led a discussion on what the data can, and cannot, say about outcomes, using examples from a selection of Part B and Part C indicators. Questions posed included: What is the difference between student outcomes and program performance? Can your data tell you which states, districts, or programs are performing better? What policy questions would you like to know about that your data currently cannot answer?