What is the significance of "logic models" in evaluation?

The significance of "logic models" in evaluation primarily lies in their ability to visualize the program's theory of change. A logic model is a systematic and visual way to present the relationships between the resources invested in a program, the activities that are carried out, and the intended outcomes of those activities. By clearly outlining these connections, logic models help stakeholders understand how a program is supposed to work and what it aims to achieve.

Visualizing the program's theory of change is crucial for several reasons. It provides a blueprint that can be used not only for planning and implementation but also for assessment and evaluation. When evaluators refer to a logic model, they can systematically gather data to determine whether the program is being implemented as intended and whether it is achieving its desired outcomes. This visualization also aids communication among stakeholders, as it provides a clear framework for discussion about the program's goals and processes.

In contrast, while logic models may indirectly support funding justification, regulatory audits, or stakeholder negotiations, these roles are secondary to their primary function of illustrating the theory of change. It is this foundational role that makes logic models a vital tool in program evaluation and development.