Archived Resources

The Part B State Performance Plan/Annual Performance Report 2019 Indicator Analyses presents a national quantitative picture of the implementation of Part B of IDEA based on a review of information 60 states and jurisdictions reported in the FFY 2017 APRs and amended SPPs they submitted to OSEP in spring 2019.

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

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.

The Part C State Performance Plan/Annual Performance Report 2016 Indicator Analyses presents a national picture of the implementation of IDEA based on a review of information 56 states and jurisdictions reported in their FFY 2014 APRs and amended SPPs that they subsubmitted to OSEP in spring of 2016.

The Part B State Performance Plan/Annual Performance Report 2016 Indicator Analyses presents a national picture of the implementation of IDEA based on a review of information 60 states and jurisdictions reported in their FFY 2014 APRs and amended SPPs that they subsubmitted to OSEP in spring of 2016.

The 2015 SPP/APR Indicator Analyses for Part B presents a national quantitative picture of the implementation of Part B of IDEA based on a review of information 60 states and jurisdictions reported in their FFY 2013 Annual APRs. For the purposes of the report, the term “state” is used for both states and territories. The report, which covers Part B Indicators 1 through 17, can be downloaded in Word format.

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.