What is a logic model's role in program planning and evaluation?

What is a logic model's role in program planning and evaluation?

• A. Connects resources and activities to expected outcomes and impact; guides measurement and evaluation design.
• B. It describes the theoretical basis of the disease.
• C. It is a statistical model used for analyzing data.
• D. It outlines the budget and funding sources only.

Answer: (A)

A logic model functions as a planning and evaluation map that links what you invest and do with the short-, intermediate-, and long-term changes you expect. By laying out inputs (resources), activities, outputs, and outcomes, along with the assumed causal pathways and underlying assumptions, it makes the program theory explicit. This clarity helps ensure that what you implement is aligned with the desired impact and provides a concrete framework for measuring progress. It guides evaluation design by identifying appropriate indicators for each step in the pathway and clarifying what data to collect, when, and how to interpret them. In short, a logic model connects resources and activities to outcomes and impact and shapes how you measure success, rather than focusing solely on disease theory, statistical analysis, or budgeting in isolation.

A logic model functions as a planning and evaluation map that links what you invest and do with the short-, intermediate-, and long-term changes you expect. By laying out inputs (resources), activities, outputs, and outcomes, along with the assumed causal pathways and underlying assumptions, it makes the program theory explicit. This clarity helps ensure that what you implement is aligned with the desired impact and provides a concrete framework for measuring progress. It guides evaluation design by identifying appropriate indicators for each step in the pathway and clarifying what data to collect, when, and how to interpret them. In short, a logic model connects resources and activities to outcomes and impact and shapes how you measure success, rather than focusing solely on disease theory, statistical analysis, or budgeting in isolation.