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    Format: Presentations

    Part B Transition Indicators: Supporting States in the SSIP

    The 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 Rates

    Montana 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.

    An IDC Resource

    Format: Recordings

    Reporting and Using Data to Ensure Successful Transitions in Early Childhood Webinar

    This 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.

    An IDC Resource

    Format: Checklists, Crosswalks, and Rubrics

    Part C Exiting Data Matrix: Categories with Child-Level Examples

    This 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).

    An IDC Resource

    Format: Online Applications

    Part C Exiting Counts

    IDC'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.

    An IDC Resource

    Format: Guides, Papers, and Reports

    Examining Part C Exiting Data Variation

    Using 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.

    An IDC Resource

    Format: Applications and Spreadsheets

    IDEA Part B Indicator 12 Transition Template: Calculating Data Worksheet

    The tool converts state and LEAs early childhood transition data into percentages. Use of the tool enables states to see real-time percentages of children ages 3-5 in the transition reporting categories and compare the percentages of children within the categories across LEAs.