Evaluation Design
Evaluation design is the structure that allows you to collect and analyze the data needed to answer your evaluation questions. It is important that the evaluation design align with your logic model, goals, research questions, available resources, and (funder) requirements.
Formative & Summative
What is it? Formative evaluation centers on improvement within product or program that is currently underway. For example, program administrators may use interviews with beneficiaries to determine whether the activities are meeting their needs or to garner ways to improve the service. Summative evaluation, on the other hand, assesses whether the product or program actually met its stated outcomes. In this case, program administrators may look at self-assessments to determine intended effects of the program to beneficiaries. In sum, formative evaluation addresses program effectiveness and summative evaluation addresses whether the program should be continued, replicated, modified, or ended. Our consultants can help you build the necessary assessment to help your program, as well as meet your organizational (and funder, if applicable) requirements.
How can we help you?
- Identify whether formative, summative, or both are needed within your evaluation
- Determine the type of evaluation design needed for your evaluation
- Experimental (impact design)
- Quasi-experimental (impact design)
- Non-experimental (process design, outcome design)
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Read MoreFAQ About Formative & Summative
Generally speaking, outcome evaluation can begin to measure changes at least six months after program implementation.
Stakeholders will vary based on project type, but it is good to include those that represent various levels of the project from beneficiaries and community leaders to program coordinators and board members.
A logic model is bidirectional, meaning it can be read from left to right or right to left (or top/bottom if created in that manner). Generally, your planned work in the form of resources/inputs and activities on the lefthand side of the model should form an apparent connection with your intended results in the form of outputs, outcomes, and impact on the righthand side of the model.
The data collected for M&E should be grounded by a solid logic model and tied to the outputs and outcomes stated therein.
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Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas