Site Search
Results 8 - 11 of 11
Format: Toolkits and Templates
Part C IDEA Data Processes ToolkitUsing the Part C IDEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff. The toolkit contains an overview of the toolkit, Data Collection Protocols, SPP/APR Indicator Protocols, a State Landscape Protocol, a Local EI Program Determinations Protocol, a Data Collections Calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word, and states can tailor them meet their states' specific documentation needs.
Format: Applications and Spreadsheets
IDEA Part B Indicator 12 Transition Template: Calculating Data WorksheetThe tool converts state and LEAs early childhood transition data into percentages. Use of the tool enables states to see real-time percentages of children ages 3-5 in the transition reporting categories and compare the percentages of children within the categories across LEAs.
Format: Presentations
National, State and Local Inclusion Data: Accessing and Using Data to Increase Inclusive OpportunitiesThe presentation focused on current national data on inclusive settings for children, ages three to five. Presenters drilled down to state examples of how state share data with local programs and how locals use that data for program improvement. Presenters discussed potential improvement strategies based on data available to state and local programs. Presentation objectives were to: provide an overview of inclusion and Educational Environments 618 and Indicator 6 data, share state and local reporting, and discuss use of data to improve inclusion.
Format: Online Applications
The Uses and Limits of Data: Supporting Data Quality With a Strong Data ChainThis online learning module provides a general overview of how the methods and design of data collection and analysis affect interpretation of the data. The module presents the different links in the data chain (e.g., defining the question, measurement strategy) and describes how each link contributes to quality of 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