The Uses and Limits of Data: Supporting Data Quality With a Strong Data Chain
This online learning module provides a general overview of how the methods and design of data collection and analysis affect interpretation of the data. The self-paced module presents the different links in the data chain (e.g., defining the question, designing a measurement strategy) and describes how each link contributes to high-quality data and data analyses. The module also includes examples from a selection of Part B and Part C SPP/APR indicators to illustrate how each step in the data chain contributes to the integrity of the data and its interpretation.
This learning module is suitable for anyone who needs an introduction to the concept of data systems. Individuals at the local, state, and federal level who use early intervention and special education indicator data to guide policy, practice, or instructional decisions also will find it helpful.