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Format: Presentations
Building an SSIP Evaluation PlanThe information provides guidance on developing an evaluation plan by differentiating implementation and impact. Topics addressed include translating theory of action into specific evaluation questions and possible formative and summative measures for evaluation. Helpful handouts are included.
Format: Guides and Briefs
A Guide to SSIP Evaluation PlanningThis guide describes key steps for developing a well-thought-out plan for evaluating an SSIP. The guide provides considerations for how to incorporate each step into an evaluation plan, as well as a series of worksheets that correspond to each step and can be used to facilitate the planning process. The guide, along with its corresponding worksheets, is intended for TA providers to use in partnership with state staff.
Format: Guides and Briefs
Operationalizing Your SSIP Evaluation: A Self-Assessment ToolThe purpose of this tool is to lead those within a state responsible for implementing their SSIP evaluation through the process of operationalizing their SSIP evaluation plan in tandem with implementation efforts. State staff can use this interactive self-assessment to gauge their team’s progress on key components necessary for fully executing their SSIP evaluation plan and to identify action steps needed to realize the greatest benefit from their evaluation efforts.
Format: Presentations
Think Like an Evaluator: Backwards, Forwards, and in CirclesThe presentation focuses on the key aspects of planning for evaluation of the SSIP. Highlighted information includes the purpose of evaluation, setting the state for evaluation, the importance of focusing on outcomes, evaluation logic, and planning. Helpful handouts are included.
Format: Presentations
Using the Part B Data System Framework to Improve Data System Capacity and Enhance Data QualityThis session introduced the IDEA Data Center Part B Data System Framework as a tool to guide development of a coherent approach to improving data quality and data systems. The overall purpose of the framework and accompanying products is to allow states to assess progress toward valid collection, analysis, use, and reporting of Part B IDEA data. The presenter also presented and described a companion data system graphic.
Format: Quick Reference
Response Rate, Representativeness, and Nonresponse Bias—They All Matter!Response rate and representativeness are important terms in survey work. Consideration of both is necessary to ensure that collected data are valid and generalizable. This resource briefly defines and compares the terms while also explaining how they relate to nonresponse bias.