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

This Version 2.0 of the Data Display Wizard creates data displays based on user entry of SPP/APR data. The tool gives users various options for displaying that data. LA staff can use this tool to engage with various stakeholders on how to best display reported SPP/APR data based on the audience, message, and purpose of the desired report or presentation.

The Part C State Performance Plan/Annual Performance Report 2018 Indicator Analyses presents a national picture of the implementation of Part C of IDEA based on a review of information 56 states and jurisdictions (55 for Indicator 11) reported in their FFY 2016 APRs and amended state-submitted 2017 SPPs/APRs. For the purposes of the report, the term “state” is used for both states and jurisdictions. The report, which covers Part C Indicators 1 through 11, can be downloaded.

Part C Data Collections from the Interactive Public Reporting Engine

This document from PTAC addresses privacy and security considerations relating to computer software, mobile applications (apps), and web-based tools provided by a third-party to a school or district that students and/or their parents access via the Internet and use as part of a school activity. The 14-page document is formatted in a question and answer format and includes a resource list and glossary of related terminology.

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.

This presentation hosted by CIID highlights successful practices to mitigate privacy concerns which emerge during integration of IDEA data.