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

During this presentation, the IDC Evaluation Team helped participants recognize current improvement strategies related to infrastructure development, understanding the value of evaluating infrastructure changes, and learning how to put the evaluation of infrastructure to practical use.

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.