The Data and Evaluation Systems are one of four essential support structures:
The Data and Evaluation Systems are a collection of measurement tools and procedures used for data-based decision making. They are embedded in every structure and stage of the initiative.
The Data and Evaluation Systems are used to document and ensure quality, high-fidelity implementation of practices. The data generated is critical to ongoing planning and decision making throughout the initiative.
Data and Evaluation Systems will:
Watch a Learning Lab session on using data for making decisions.
SLT, PLT, and PDN collect data on progress and performance across the improvement effort and over time. This data is used to identify and evaluate implementation needs and outcomes. The Tip Sheet Series provides guidance for collecting and analyzing evidence-based practices implementation data. The Look-Think-Act Model is used to examine data for trends and meaningful associations, interpret the data, and determine future actions.
Data collection activities include:
Evaluating data activities include: