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This presentation focused on what is meant by the term “data quality” and provided information regarding the importance of high-quality data in the collection, reporting, and use of data in local and state decision making. Presenters shared actual examples from state experiences.

This presentation provided information that would allow participants to increase their knowledge of what constitutes high-quality data, how to improve processes for collecting high-quality data, and the use of high-quality data for measuring program effectiveness.

The presentation examines the reasons why states would change baselines or targets for their SSIPs. Topics addressed include changes in assessments, data collection methods, and data quality. Participants discussed and provided input into an  IDC white paper on the topic. Currently, the white paper is in draft form and undergoing revisions based on input from the field. The published paper will be posted to the IDC Resource Library and affiliated as a related resource to the handout already posted for this session.

This presentation provided an overview of the challenges of data collection for IDEA Part B Indicator 14 and identified some successful efforts to overcome challenges such as representativeness and response rates. Additionally, presenters shared one state's effort to improve the quality of their student post-school outcome data to increase confidence in programmatic decisions that could be made from those data.

This role-alike presentation was a facilitated discussion by Part B Data Managers to explore strategies and solutions for meeting common challenges, such as working with LEAs to improve data quality, cross walking EDFacts data to SPP/APR indicators, and verifying that requirements for making data available to the public are fully met.

The required measurements for APR Indicators B3, B4, B5, B6, B9, and B10 (the assessment, discipline, LRE, and disproportionality indicators) are based on Section 618 data. This session focused on selected section 618 data submissions and how the data can be explored to provide more in-depth information for use in discussion with state’s APR stakeholders. Presenters demonstrated some practical methods for taking a deeper look at data in the IDEA EDFacts file submissions using readily available data analysis tools (Microsoft Excel).

Do you ever wonder what other states are doing to ensure high-quality data? Participants of this session learned about the work that the Kentucky Department of Education is undertaking to create data process protocols, build capacity of data stewards, and institute a culture of high-quality data. This work is being accomplished using the new IDC Data Processes Toolkit. Presenters provided an overview of the toolkit, and participants had an opportunity to experience “preparing for this work.”