Archived Resources

The SSIP Phase II Process Guide describes the steps needed to accomplish the work of the three components of Phase II. It lists tools and resources and defines key terms to support the work.

The webinar focused on a national overview of state’s Phase I SSIP based on the SSIP content analysis that TA providers completed in summer of 2015. DaSy, ECTA, IDC, and NCSI co-sponsored the webinar. Several early childhood colleagues shared the results of the SSIP content analysis.

This presentation provides guidance on the evaluation of SSIP by differentiating between evaluating implementation and impact and reviews possible measures of progress toward achieving the SIMR. Participants discussed and provided input into development of an IDC white paper on the topic. Currently, the white paper is in draft form and undergoing revisions based on input from the field. The published paper will be posted to the IDC Resource Library and affiliated as a related resource to the handout already posted for this session.

This presentation focuses on the role that developing a logic model has in overall SSIP evaluation planning.

The presentation focuses on experiences of State Part B teams in analyzing data, selecting their SIMR, and completing their SSIP. Guiding questions help states connect Phase I and Phase II planning.

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.

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.