Archived Resources

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

The Part B State Performance Plan/Annual Performance Report 2018 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 2016 APRs and amended SPPs they submitted to OSEP in spring 2018. For the purposes of the report, the term “state” is used for both states and territories. The report covers Part B Indicators 1 through 17.

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

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.

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.

This workshop engaged participants in identifying data quality issues that interfere with assessing progress in SSIP implementation and improvement toward the SiMR. A facilitated discussion focused on strategies for improving data quality to support decisionmaking and achievement of results.