Archived Resources

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

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

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 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.

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.

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 provides strategies for making predictions of the ways in which improvements in data quality will impact the summary statements and describes different ways to impact and measure changes in data quality over time. This can help states currently struggling to predict how improvements in data quality will impact the value of the summary statements describing child outcomes. Helpful handouts are included.