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Information focuses on ways to collect and use data on coherent improvement strategies and assess gaps in existing data for evaluation and provides examples of existing data or information states are already collecting (e.g., through monitoring) and how to use that data to measure SSIP activities. A helpful handout is included.

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 provides information about what data quality means, how to get to data quality for the SSIP and why data quality is increasingly important.

The presentation explores four rubrics stakeholders developed that identify levels and depths of engagement of stakeholders.

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

A critical aspect of the SSIP evaluation is measuring improvements to system infrastructure. The presentation provides information on how states can measure changes to systems for supporting implementation of evidence-based practices.

The presentation presents considerations for what states can expect to see regarding changes in child outcomes and how they can ensure deep, early, and meaningful stakeholder engagement in evaluation, including possible measures of progress toward that meaningful engagement.