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Results 1 - 7 of 9
Format: Applications and Spreadsheets
SEA EDFacts Edit Check and Data Display ToolsIDC's SEA and LEA EDFacts Edit Check and Data Display Tools for assisting states as they prepare their Part B data submissions. States can use the tools to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. Several of the tools are updated versions of the DTS originally published by (DAC), and this resource includes a zip file of 508 accessible versions of those tools. The MOE and CEIS Edit Check and Data Display Tools that IDC and CIFR developed allows states to input LEA-level data into the base data tab and generates edit check messages that are displayed in the auto-calculations tab.
Format: Presentations
Part B Transition Indicators: Supporting States in the SSIPThe National Post-School Outcomes Center, in collaboration with IDC, provided a picture of post-school outcomes for youth with disabilities over the last four years based on Indicator 14 data. Presenters discussed methods states use to collect these data. To further states' work in RDA and improve results, presenters provided information about resources and TA that support states in examining the transition indicators as stakeholders work through the three phases of the SSIP.
Format: Presentations
How Two States Increased Their Post-School Outcomes (B14) Return RatesMontana and Arkansas Part B Data Managers presented how they conduct their post-school outcomes (Indicator B14) surveys and how they have been able to increase their response rates over four years. They discussed what has worked for them, what they have learned along the way, and how they can now use these data as a part of their SSIP analysis.
Format: Recordings
Reporting and Using Data to Ensure Successful Transitions in Early Childhood WebinarThis webinar highlighted the IDEA state reporting requirements for early childhood transitions for both Part C and Part B, found in the SPP/APR Part C Indicator 8 and Part B Indicators 11 and 12. Participants shared resources related to transition, data collection, and reporting, as well as the use of both Part C and Part B data to facilitate high quality transitions. North Dakota's Part C coordinator and data manager and Montana's 619 coordinator and data manager described how their states collect and use transition data to ensure smooth transitions for all young children as they turn three and move from early intervention services to preschool 619 services.
Format: Checklists, Crosswalks, and Rubrics
Part C Exiting Data Matrix: Categories with Child-Level ExamplesThis matrix is both a standalone product and the fourth section of the IDEA Data Center Part C Exiting Data Toolkit. It contains scenarios for each of the 10 exiting categories. The Part C Exiting Data Toolkit is designed to assist states in reporting high-quality Part C exiting data, required under Section 618 of IDEA. The remaining three sections in the Part C Exiting Data Toolkit are: Part C Exiting Reasons and Categories (Section 1); General Challenges and Potential Solutions (Section 2, Part 1); Specific Challenges, Potential Solutions, and Variation (Section 2, Part 2); and Data Check Patterns and Additional Data Check Patterns to Ensure Non-Duplicated Counts of All Eligible Exiting Children (Section 3).
Format: Online Applications
Part C Exiting CountsIDC's Part C Exiting Counts app allows users to test their knowledge of the 10 Part C Exiting categories by either starting with a child scenario and deciding which reason and category best fit the scenario or starting with a reason and category and deciding which child scenario best fits that reason and category.
Format: Guides, Papers, and Reports
Examining Part C Exiting Data VariationUsing national averages for each of the exiting categories, this white paper helps state personnel examine differences in their Part C Exiting data. The paper explores Part C Exiting data category definitions, as well as general and specific trends in Part C Exiting data. It also includes suggestions for possible strategies to improve data quality, including clarifying policies and definitions, documenting procedures for implementation of policies, and developing training materials related to reporting exiting data.