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.

IDC staff joined the NPSO Community of Practice call December 11 to present examples for states to consider that would constitute a change of their sampling plans. Staff explained how states can get TA on sampling from IDC. The call also offered a refresher on the NPSO sampling and response calculators that states can use for their SPP/APR work.

This session examined the strategic role data play in state agency decision making by exploring how data managers can more effectively use their role to promote public reporting, data awareness, data utilization, and systems change. Presenters paid particular attention to data governance, cross-department information sharing, timely data access, distribution, usability, and analysis, along with examples of best practice from practitioners in the field to ultimately improve student results.

This SLDS Technical Brief examines what protecting student privacy means in a reporting context. Current reporting practices are described and each is accompanied by an example table that is used to consider whether the intended protections are successful. The Brief illustrates that some practices work better than others in protecting against disclosures of personally identifiable information about individual students. The Brief concludes with a set of recommended reporting rules that can be applied in reports of percentages and rates that are used to describe student outcomes to the public.