Archived Resources

This workshop provided participants an opportunity to envision and begin development of a comprehensive plan for creating protocols and follow-up activities they may use at both the SEA and LEA levels. Session activities focused on identifying appropriate roles to be represented at the table. They also focused on methods for engaging staff in the work and other critical considerations for implementing and sustaining these foundational data practices.

OSEP has provided states with data quality reports, now what? This workshop explored ways states can use the IDEA Data Quality Review and Year to Year reports to improve data quality. Participants engaged in hands-on exercises to explore how the OSEP-provided reports may point to systemic issues related to internal state processes or communication. Participants explored next steps after identifying data quality issues, including applying best practices for writing data notes, incorporating lessons learned into internal processes or systems, and exploring opportunities for support or training for LEAs.

During this session, the presenters walked participants through a structured process for guiding conversations using data and making data-informed decisions. The presenter demonstrated the flexible use of IDC’s Data Meeting Protocol across a variety of data and with diverse groups and stakeholders.

This workshop gave participants the opportunity to practice applying the IDC Data Meeting Protocol to engage diverse groups and stakeholders in data discussions and decisionmaking. Facilitated discussions allowed participants to try out strategies for planning, meeting, and following up on group data use.

The purpose of this presentation was to introduce PTI and CPRC directors and staff to the IDEA data collected and reported by state education agencies and discuss how these data can be used to inform many of the fourteen priority topics for the PTI/CPRC network. These priorities were  identified in the most recent OSEP requests for proposals for PTI and CPRC funding.

This online learning module provides a general overview of how the methods and design of data collection and analysis affect interpretation of the data. The module presents the different links in the data chain (e.g., defining the question, measurement strategy) and describes how each link contributes to quality of data and data analyses. The module also includes examples from a selection of Part B and Part C SPP/APR indicators to illustrate how each step in the data chain contributes to the integrity of the data and its interpretation

Do you need a table that connects each SPP/APR Indicator with its required data source? This is that.