Site Search
Results 29 - 35 of 37
-
Setting Baselines and Targets in a World of Questionable Data Quality
All states are developing a new SPP/APR. They may consider new baselines, as appropriate, and must set targets for results indicators. This baseline and target setting will be complicated because states collected and reported the most recent SPP/APR data available during the COVID-19 school closures, which affected the completeness, accuracy, and quality of the data. With these issues in mind, IDC presenters shared considerations for determining baselines and strategies states may use to set targets for SPP/APR indicators. Two states took a dive into several SPP/APR indicators to share their plans for setting baselines and targets and engaging their stakeholders in the process.
Format: Guides and Briefs
State Determinations of Local Education Agency (LEA) PerformanceThis resource provides a summary of findings from 28 states’ publicly available LEA determinations processes. States can use this resource to learn more about the data elements, calculation methodologies, and determination category criteria these 28 states used for making LEA determinations. This information can be particularly valuable for those states considering revisions and updates to their own LEA determinations processes.
Format: Guides and Briefs
Success Gaps Rubric: Addressing Equity, Inclusion, and OpportunityThis rubric allows a team of users from a district or school to systematically examine the root causes of success gaps among groups of students by focusing on equity, inclusion, and opportunity. The recently updated rubric now includes considerations for children as young as preschool age. A complementary white paper provided the research-based background that supported development of the rubric.
Format: Toolkits
Success Gaps Toolkit: Addressing Equity, Inclusion, and OpportunityThe Success Gaps Toolkit presents a process for using data and the Success Gap Rubric to identify root causes of gaps between groups of children in districts or schools. These success gaps occur when the education system is not meeting the needs of all groups of children and outcomes for some groups are different than outcomes for most groups. The toolkit, with its process and materials, provides a manageable and defined way for districts or schools to identify success gaps that are present and their root causes and then make a plan for addressing the gaps. The success gaps may be the graduation rate of students who are English learners compared to the rate of all other children, the out-of-school suspension rate of children who are Black compared to the rate of all other children, the identification of children who are Hispanic as children with specific learning disabilities compared to the identification of all other children, and other gaps.
Format: Guides and Briefs
The Assessment Data Journey: Are We There Yet?Data for Part B Indicator 3 follow a long and complicated process that begins when a student is registered as a test taker in a state assessment system and ends with public reporting via the SPP/APR. Multiple factors are involved in this process, and regular and ongoing communication and collaboration among the various people involved can make this process easier. This suite of four resources can help states with the work. The interactive infographic provides general information about the process for a typical state.
Format: Trainings
The Importance of High-Quality Data and the Role of Business RulesThe Importance of High-Quality Data and the Role of Business Rules instructional video provides a brief introduction to the concept of using business rules to promote and support the collection of high-quality data within state and local systems for IDEA Part B and C.
Format: Guides and Briefs
Unpacking and Understanding Part B SPP/APR Indicator 3DThe purpose of this resource is to unpack Part B SPP/APR Indicator 3D to better understand how to use Indicator 3D results to improve outcomes for all children with IEPs. This resource guides the reader through Indicator 3D, including how to calculate it; information on the setting/resetting of its baselines and targets; and considerations when analyzing, reporting, and using Indicator 3D data. As an aid to deepen learning, this resource includes examples with fictitious data.