145571 Tips for Developing Logic Models

Tuesday, November 6, 2007

Michael Burke, PhD , Public Health and Environment Division, RTI International, Washington, DC
Logic models for planning and evaluation are required by many funding agencies (e.g., CDC, United Way). There are a few logic model development guides and references to models can be found in many journal articles. However, there is comparatively little practical guidance available on how to tackle common problems in logic model development. Four common problems novice developers encounter are: (1) how detailed a model should be, (2) what columns or categories to include, (3) what should be considered an output and what shoudl be an outcome, and (4) how to use a model for planning and evaluation. These problems can be addressed with a few simple guidelines. In this session we present simple tips to help improve your logic modelling.

Learning Objectives:
By the end of the presentation, the session participants will be able to: 1. Discuss levels of specificity in logic models 2. Discuss the pros and cons of including various columns/categories 3. Recognize the difference between an output and an outcome 4. Develop an evaluation overlay

Keywords: Planning, Evaluation

Presenting author's disclosure statement:

Any relevant financial relationships? No
Any institutionally-contracted trials related to this submission?

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

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