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Results 8 - 13 of 13
Format: Presentations
Understanding and Effectively Engaging Stakeholders in Data Use (DaSy Framework)The presentation offers information about how the DaSy Data System Framework supports stakeholder engagement as a component of high-quality Part C and Section 619 data systems. A helpful handout is included.
Format: Presentations
State Part B Teams Discuss Their Experiences With the SSIP and SIMR ProcessThe 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.
Format: Presentations
Sharing Data With Locals: Data Quality and Data Use From the Ground UpThis topical burst suggests guidance and tips for creating data products for local staff and ways to promote a culture of high-quality data and data use at the local level.
Format: Presentations
Data Quality in the Age of SSIP: Measure Twice. Cut Once.The presentation provides information about what data quality means, how to get to data quality for the SSIP and why data quality is increasingly important.
Format: Presentations
Equity, Inclusion, and Opportunity: Getting SSIP Results by Addressing Success GapsThe presentation provides a self-assessment rubric that can help states and local districts view their school/district programs and practices with an "equity" lens and help states and LEAs understand the reasons for discrepancies in outcomes between certain groups of students. Helpful handouts are included.
Format: Presentations
The Data Are in the Details: Translating Evaluation Questions Into Detailed Analytical QuestionsInformation helps states recognize the need for wording evaluation questions differently for different purposes and audiences. The presentation provides steps for developing detailed questions for analysis. Clearly articulated analytical questions can help states determine what data are needed to answer the questions and more efficiently and effectively obtain the answers they need to use data to support success in the SSIP.