Identifying Effort and Effect Data
Identifying Effort and Effect Data
What are effort & effect data?
There are two types of data a program can collect- effort and effect. Effort data helps to determine how much and how well an implementation support is being used. Effect data helps to determine if the efforts are making a difference or helping to improve outcomes.
Why are effort & effect data important for PBC-DIDM?
Both effort and effect data are used to make data-informed decisions about Practice-Based Coaching (PBC) and related professional development. For example, teams or individuals might use their effort and effect data to identify which practitioners will participate in PBC, the practice focus of PBC supports, or the delivery format for their PBC efforts. Collecting and using effort and effect data can help teams and individuals use PBC and related professional development resources in efficient and meaningful ways.
How could we use this information in our program?
The Sources of Effort and Effect Data module will help teams and individuals to learn more about sources of effort and effect data that are often used to make data-informed decisions about PBC and related professional development. Please click on the cover link below to visit.
What resources are available?
Learn more about how to align your effort and effect data to promote positive outcomes for coaches, practitioners, children, and families using the Effort and Effect Cascade.
Visit the resource library to access resources from the Sources of Effort and Effect Data module including the Data Mapping Tool and a one page brief about Common Sources of Effort and Effect Data for Making Data-Informed Decisions about Coach and Practitioner Supports.