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The workshop focused on three IDC SSIP white papers: Implications of Growth Modeling for SSIP; Performance Indicators As a Tool for Measuring Progress Toward a SIMR; and Considerations for Making Changes to SIMR Baseline and Targets. During the workshop, participants were able to talk to and learn from participants from other states and provide input for the development of IDC white papers that address growth modeling, measuring progress toward a SIMR, and changing baseline and targets. The three white papers are currently in draft form and undergoing revisions based on input from the field. Published papers will be posted to the IDC Resource Library and affiliated as companion resources to the handout posted for this session.

Selection of a cohort, or Transformation Zone, for SSIP implementation is a principle consideration in developing an action plan. The presentation addresses variables that states should considered in making those decisions and provides information on methods to determine readiness and eliciting involvement of an LEA/EIS.

Do you ever wonder what other states are doing to ensure high-quality data? Participants of this session learned about the work that the Kentucky Department of Education is undertaking to create data process protocols, build capacity of data stewards, and institute a culture of high-quality data. This work is being accomplished using the new IDC Data Processes Toolkit. Presenters provided an overview of the toolkit, and participants had an opportunity to experience “preparing for this work.”

The presentation provides reasons to focus on scaling up and factors that states should consider when developing a plan for scale-up. A helpful handout is included.

The IDEA Part B Data Manager Competencies tool outlines foundational knowledge and skills necessary for typical data manager roles and responsibilities. The competencies reflect principles for effective management, support, and use of high-quality IDEA Part B data and fall under one of three overarching categories: content knowledge and skills, technical knowledge and skills, and interpersonal skills. 

This workshop provided a brief overview of the new IDC IDEA Part B 616 Data Processes Toolkit. Several states that have piloted the toolkit shared their experiences with creating data processes for the SPP/APR indicators, building capacity of data stewards, and instilling a culture of high-quality data. Presenters facilitated discussion that helped participants understand the value of data processes documentation and afforded them an opportunity to experience preparing for and beginning this work.

There is a continuous need for state education agencies (SEAs) and local education agencies (LEAs) to collect and report comprehensive, high-quality data and ensure they report data accurately and in a timely fashion. The customizable IDC LEA Data Processes Toolkit is a new instrument that can improve decisionmaking about children and youth with disabilities by ensuring data are of high quality and processes are clearly defined and documented, while also providing data staff a map for documenting data processes within local districts.