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This presentation focuses on the role that developing a logic model has in overall SSIP evaluation planning.

The presentation examines the reasons why states would change baselines or targets for their SSIPs. Topics addressed include changes in assessments, data collection methods, and data quality. Participants discussed and provided input into an  IDC white paper on the topic. Currently, the white paper is in draft form and undergoing revisions based on input from the field. The published paper will be posted to the IDC Resource Library and affiliated as a related resource to the handout already posted for this session.

The presentation offers information about how the DaSy Data System Framework supports stakeholder engagement as a component of high-quality Part C and Section 619 data systems. A helpful handout is included.

Growth models provide states with an option for determining how to measure progress toward a student level SIMR outcome. Participants discussed and provided input into development of an IDC white paper that focuses on different growth model approaches, the data requirements, and analytic approach in order to use a growth model approach to measure growth toward a SIMR student outcome. Currently, the white papers is in draft form and undergoing revisions based on input from the field. The published paper will be posted to the IDC Resource Library and affiliated as a related resource to the handouts already posted for this session.

The presentation provides strategies that are important to providing high-quality preschool programs. Specifically, the information focuses on how high-quality preschool programs support improvement in the Part B SIMR. The presentation includes strategies that ensure high-quality early childhood programs as a critical first step toward later school success.

The presentation focuses on experiences of State Part B teams in analyzing data, selecting their SIMR, and completing their SSIP. Guiding questions help states connect Phase I and Phase II planning.

Use of implementation science is critical in planning and implementing systemic improvement. This information explores how to operationalize the components of implementation science and how to select, implement, and scale-up chosen evidence-based practices. Helpful handouts are included.