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Format: Quick Reference
IDC and PSC: Whom Do I Call and When?IDC and the Partner Support Center (PSC) are both available to help states with IDEA Part B 618 data needs. However, each center has a different primary purpose. This resource helps guide states about contacting IDC or PSC when they have Part B 618 data questions or concerns.
Format: Reference Materials
APR Indicator Data SourcesDo you need a table that connects each SPP/APR Indicator with its required data source? This is that.
Format: Guides, Papers, and Reports
Part B State Performance Plan/Annual Performance Report 2019 Indicator AnalysesThe 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.
Format: Guides, Papers, and Reports
Part B State Performance Plan/Annual Performance Report 2018 Indicator AnalysesThe 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.
Format: Online Applications
The Uses and Limits of Data: Supporting Data Quality With a Strong Data ChainThis 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