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The TA guide describes the methods a state might use to appropriately determine which of its districts has a significant discrepancy (including a significant discrepancy by race or ethnicity) in the rates of out-of-school suspensions and expulsions totaling greater than 10 days for children with disabilities.

This TA guide addresses the more common methods for calculating racial/ethnic disproportionality in special education. IDC revised the guide, which the Data Accountability Center (DAC) originally published in October 2011, because of a change in SPP/APR Indicators 9 and 10 to remove underrepresentation from the measure.

The presentation introduces a research-based guidance document and self-assessment rubric designed to help districts and schools identify the root causes of "success gaps" (for example, in test scores, suspension or graduation rates, or course credits) for some groups of students, thereby helping schools to improve and equalize results for all students.

This white paper focuses on elements of equity, inclusion, and opportunity that can minimize or eliminate success gaps among different groups of students. It provides the research-based background that guided development of a complementary rubric that schools or districts can use to systematically examine the root causes of success gaps among groups of their students. The white paper has been updated recently and now includes considerations for children as young as preschool.

The 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.

Produced by IDC and CIFR, this resource discusses each of the four new data elements OSEP is adding related to the LEA MOE provisions of IDEA in the MOE Reduction and CEIS data collection. The resource reviews each new element, presents information about actions the SEA may take to address and answer the questions posed for each of the four data elements, and provides additional support and assistance as states prepare to collect and submit these data.

Many schools and districts have been identified as low performing or disproportionate because of disparities between subgroups on a variety of success measures. Other schools and districts are proactively trying to address identified success gaps. Presenters from IDC demonstrated IDC's Success Gaps Toolkit that can help schools and districts 1) prepare all of their students for success in college and careers by addressing success gaps, 2) collect and use quantitative and qualitative data for the purpose of root-cause analysis of those success gaps, and 3) focus attention on those root causes for the benefit of children and students in the lowest performing subgroups.