A logic model presents a picture of how a program is supposed to work. It can be thought of as a map, helping you to see where you are trying to go, how you can get there, how you can gauge your progress, and how you'll know when you get to the end.

Logic models are usually diagrams, flow charts, or some other type of visual graphic that shows the relationship between program inputs, processes, and outcomes. The goal is to show the connections in a sequence of reasoning regarding what causes what in terms of the stated outcomes (which is usually the last link in the model).

Visually, the basic logic model format for SPF SIG can be presented in the following manner:

Looking at the first box, the substance-related problem or consumption behavior that has been selected as the Missouri state priority is risky drinking, defined as binge and underage, for those age 12 to 25. More specifically, it might be “drinking and driving by underage drivers” for a specific community.

The intervening variables, which can also be called “casual factors” or “enabling factors,” will differ depending on the community and what is leading to the consumption problem in each specific community. If we look at “drinking and driving by underage drivers,” a possible causal factor might be the low enforcement of alcohol laws.

The last box, strategies (policies, practices, programs), is dependent on the middle box. In our example, a possible strategy could be to enforce underage alcohol laws (which could include compliance checks, sobriety checkpoints, etc.).

Some logic models might be more involved than the example above. For instance, they might include strategies, activities, or short-term, intermediate, and long-term outcomes. But your logic model may not need this much detail. Just be sure your logic model includes the detail you need in order to account for the various factors that impact the attainment of your goals.