Category Archives: 2018 Conference Presentation

What Might the Future IDEA Data Manager Job Look Like in 10 Years

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BI tools, increased data linking, mobile solutions, more prominent data governance, ever changing security, smarter data systems, voice activated data visualization, automated data driven suggestions, faster data turnarounds, and ever shorter consumer attention spans. What will IDEA data managers do and need in this exciting and hectic future? Participate in facilitated out of box thinking […]

Suspension and Expulsion in the Early Years: Using Data to Inform Continuous Improvement for Children with Disabilities

DaSy Data System Framework

This presentation contains information on the importance of early childhood suspensions and expulsions as this issue relates to child and student outcomes, particularly for children with disabilities. Participants will learn about applicable data, definitions of suspension and expulsion, and potential impacts on practice. Additionally, participants will learn how Arkansas and South Carolina are implementing policies […]

Using Data You Can Trust Improving Survey Response Rates

DaSy Data System Framework

States employ survey methods to collect data about family outcomes and support their SSIP evaluations. Low response rates hinder states’ ability to analyze data. Furthermore, development of clear and concise survey methodology facilitates collection and analysis of meaningful data. Participants will learn of advantages and disadvantages of different survey methodology and methods for increasing response […]

What Does It Really Cost Real Results from a State Fiscal Analysis Including Cost and Time Studies?

Cost studies explore all cost aspects of a state administration and local service delivery system. The data from a study supports informed decision-making related to reimbursement rates, purchasing priorities and equity in the funding mechanisms. This session will provide an overview of cost studies, focusing on the experience of a state presenter in implementing a […]

Examining Data to Identify Meaningful Difference

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Data analysis is a key process for making data useful. Mistakes in analysis can cloud interpretation and distract from important results. In this session TA providers will discuss key considerations in selecting and using statistical analyses. The focus is on approaches to both describing data and making inferences from data, with specific attention on the […]