Data Collection
The project is supported by a mixed-methods data collection strategy. The data to be collected is informed by the theory of change. Detailed data collection supports key pathways in the theory of change. The data includes: |
Some of the data collection that will inform this project includes:
Document reviews:
Given the very short time frames of the evaluation, program documents provide the most convenient source of data collection for the evaluation.
Case studies of Teasdale Corti grants:
This might be a good way to understand processes and initial impacts of the program in more detailed ways. The case studies might also help learning about the theory of change
Realist review connecting programmatic research and health outcomes:
Realist reviews are a new form of evidence reviews that are especially helpful in developing a theory of change for programs. The focus of such a review is on the contexts and mechanisms that are necessary for interventions (and systems) to ‘work.’ This approach is necessary because there is a need to understand the mechanisms by programmatic research can impact health outcomes
Interviews/focus groups with grant recipients:
This step is important because it provides feedback from key stakeholders on the theory of change, as well as the implementation challenges.
Bibliometric measures:
As requested by CIHR we will explore mapping the bibliometric measures to the theory of change—thereby utilizing these measures as a potential data source for assessing performance. Given the quick turn around of our evaluation, this assumes that there is already a monitoring and bibliometric data system in place that can help create the measures.
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