Site Search

Amber Stohr is an IDC State Liaison and TA Specialist working to develop resources and tools for SEAs to use in their efforts to enhance data quality and reporting. She sat down with us to answer some burning questions.

Chris Thacker is a State Liaison with IDC who provides technical assistance to states both on-site and virtually in addition to developing tools and products that help states with the submission of their Section 618 data and the SPP/APR. In his pre-IDC life, Chris also worked in both underground and surface coal mines and has been a revenue officer for the IRS. Intrigued, we sat down with Chris to learn more.

Christina MacDonald is an IDC TA specialist. In that role, she helps state and local education agencies consider their unique context and vision and works with them to identify how data can support the next steps in achieving their unique goals. She was kind enough to sit down with us recently to answer some important questions.

TA Specialist and IDC’s Project Manager Lee Anne Sulzberger knows that positive relationship building is critical when it comes to helping state and local agencies build their capacity for high-quality special education data. She recently sat down with us to help build that connection by answering some thoughtful—and fun—questions about her life in and out of IDC.

Rachel Wilkinson is an IDC State Liaison who provides technical assistance and support around IDEA Part B data, co-leads data-quality peer groups, and assists with development of tools and resources based on needs from the field. She took time out of her busy schedule to sit down with us.

B side: also known as “flipside”; the other side of a phonograph record or cassette tape; tracks that are unusual, rare, or secondary. (Definition via musicalexpert.org) Welcome to IDC’s B Side, the place where our fans can turn for unusual, rare, or...

Significant disproportionality calculations rely on risk ratios to dive deeper into subgroup differences in outcome data, such as identification, placement, and discipline. Risk ratios are a useful tool in a state’s data analysis toolbox. What if the same tool could be used to identify subgroup differences in other student outcome data? Even better, what if the same tool could be applied to student outcome data that are already collected by states and districts? Let’s explore one potential option for states to examine these subgroup differences using commonly collected data: graduation and dropout.