Archived Resources

This presentation provides an introduction to the SSIP evaluation process and an overview of key steps in planning an SSIP Evaluation. The presentation references a set of worksheets that can be used to facilitate the planning process. More information on each step, along with its corresponding worksheets, can be found in the TA document, A Guide to SSIP Evaluation Planning.

The presentation focuses on the key aspects of planning for evaluation of the SSIP. Highlighted information includes the purpose of evaluation, setting the state for evaluation, the importance of focusing on outcomes, evaluation logic, and planning. Helpful handouts are included.

Selection of a cohort, or Transformation Zone, for SSIP implementation is a principle consideration in developing an action plan. The presentation addresses variables that states should considered in making those decisions and provides information on methods to determine readiness and eliciting involvement of an LEA/EIS.

The presentation presents an overview on developing an infrastructure that supports implementation, scale-up, and sustainability of effective practices and highlights core components of implementation. Highlighted components include: Implementation Stages, Implementation Drivers, Implementation Teams, Usable Interventions, and Improvement Cycles.

During this session, the presenter applied IDC’s working principles of high-quality data to the SSIP. The presenter focused on applying the principles of data quality at each step in the SSIP evaluation.

This session introduced the IDEA Data Center Part B Data System Framework as a tool to guide development of a coherent approach to improving data quality and data systems. The overall purpose of the framework and accompanying products is to allow states to assess progress toward valid collection, analysis, use, and reporting of Part B IDEA data. The presenter also presented and described a companion data system graphic.

This session focused on how to best communicate high-quality data by applying different strategies to prepare data for dissemination and use. Topics covered in this session included the importance of understanding the audience, how stakeholder needs can vary when understanding and interpreting data, why data governance is a key component in planning data communication activities, and why accessibility is important. This session highlighted sections of the Data Use component of the IDEA Data Center Part B Data System Framework.