How can states provide high-quality special education program data?

Challenge

States need high-quality data to better understand the characteristics of students with disabilities, follow their performance, and determine whether implemented programs are having the desired effects. At the local level, sound data are important for designing instruction in the classroom and for planning the appropriate path for students from preschool through young adulthood. At the federal level, ED’s Office of Special Education Programs (OSEP) and others need accurate state and local special education data to inform policy and allocate resources. With an entire system built upon a foundation of data, it is crucial that these data be accurate, timely, and complete.

Solution

This is where the IDEA Data Center (IDC) comes in. Building on 趣赢平台’s deep knowledge of special education data and decades-long support of OSEP’s efforts to improve results for students with disabilities, we provide technical assistance (TA) that is precise, efficient, and dedicated to creating and sustaining a culture of high-quality data. To ensure that we are effectively meeting states’ needs, IDC offers a continuum of TA services—intensive, targeted, and universal.

We provide intensive TA through sustained partnerships with states to support them as they address both in-depth and long-term data challenges, resulting in meaningful and lasting change over time. For example, as part of our intensive TA offerings, IDC delivers individualized professional development opportunities and trainings to advance Part B data managers’ skills, knowledge, and understanding and support them in resolving data quality issues. To avoid data collection start-overs, we support states as they document their special education data processes to ensure data continuity during staff turnover or when onboarding new staff.

IDC primarily directs targeted TA to states and locals that have common TA needs. We host webinars, data quality peer groups, and national meetings. Our annual Interactive Institutes offer state teams a space to share data quality challenges and explore solutions with colleagues and content experts alike. Our SPP/APR Summits—also hosted annually—bring together state staff chance to connect and collaborate with their peers as they continue to improve the quality of their state’s SPP/APR data. Knowledge-to-action workshops bring together small groups of states to work in person with their peers and IDC-TA providers to build knowledge and skill capacity around a specific data-quality topic.

IDC’s universal TA includes our quarterly newsletter—the IDC Bee—the development of innovative and just-in-time tools, and the dissemination of those tools on our dynamic website. For example, our SEA and LEA EDFacts Edit Check and Data Display Tools allow states to pinpoint data-quality errors and mistakes for correction, while the Nonresponse Bias Analysis Application helps states conduct analyses of response rates, representativeness, and nonresponse bias, tailored to their survey’s data collection method. IDC’s monthly podcast, A Date with Data, highlights the stories of the states with whom we work, and features state special education directors, data managers, and other state and local staff with data responsibilities.

An independent team conducts IDC’s formative and summative evaluations and analyzes and summarizes the data. This work is essential to ensure that IDC is making progress towards our short- and long-term outcomes and is successfully meeting OSEP’s goals and objectives for high-quality special education data.

Results

Since 2013, IDC’s overarching goal has been to improve state and local capacity to collect, analyze, report, and use IDEA data accurately and effectively to ultimately improve outcomes for students with disabilities. IDC has made available high-quality TA services to state and local agencies to identify strengths and areas for improvement, address IDEA data quality needs and challenges, and increase use of data. Recipients of IDC TA report positive changes in their knowledge, understanding, and skills related to IDEA data. IDC also has developed and disseminated products and resources to support TA efforts and successfully build state and local capacity to address data quality issues and concerns. IDC has also collaborated and coordinated with others in the field to strategically inform work from the gathered data.