Archived Resources

The presentation reviewed a new TA tool that summarizes the basics of reporting IDEA discipline data in the six EDFacts file formats. Presenters described and demonstrated the new IDC infographic, discussed how SEAs and LEAs can use it to improve the quality of their discipline data, and requested audience input.

Members of IDC's Tools and Products Assessment workgroup presented an overview of states and entities across several pertinent variables: a) current information on each state's standards, current state assessments, and assessment plans; and b) 2011-12 information on Part B Indicator 3. Presenters conducted an interactive discussion identifying data quality issues around Indicator 3 and solicited suggestions for tools and products to improve data quality for this indicator.

This presentation focuses on the development of evaluation questions during SSIP evaluation planning.

During this presentation, the IDC Evaluation Team helped participants recognize current improvement strategies related to infrastructure development, understanding the value of evaluating infrastructure changes, and learning how to put the evaluation of infrastructure to practical use.

The presentation focuses on how to use high quality data to support effective implementation. Information highlights informed use of data for decision making and improvement and the conditions under which high-quality data can make the most difference.

Data governance is a critical function for organizing and exerting proper influence over data management decisions. During the last several years, many LAs and SEAs have defined and adopted data governance programs. This session explored the role of IDEA data managers as data stewards in SEA data governance programs.

Validity is about more than results—it is determined by the question asked, the data collection design, and analysis. In this session, presenters led a discussion on what the data can, and cannot, say about outcomes, using examples from a selection of Part B and Part C indicators. Questions posed included: What is the difference between student outcomes and program performance? Can your data tell you which states, districts, or programs are performing better? What policy questions would you like to know about that your data currently cannot answer?