How can logic models help in identifying evaluative questions?

Logic models are valuable tools in program evaluation that visually depict the relationships between a program's resources, activities, outputs, and outcomes. By organizing this information, logic models help clarify the underlying theory of the program, which is essential for identifying key evaluative questions.

Focusing on the connections within a logic model allows evaluators to specify what aspects of the program should be measured and assessed. This clarity stems from understanding how various components interact and contribute to intended outcomes. As a result, evaluators can formulate targeted questions that address the effectiveness, efficiency, and impact of the program, leading to more focused and relevant evaluations.

For example, if a logic model illustrates that a specific activity is expected to lead to certain outcomes, evaluators can derive questions about the effectiveness of that activity in achieving its goals. This systematic approach enhances the evaluative quality by ensuring that questions are linked to program logic and grounded in evidence-based practices.