Limitations of the Logic Model
The word “logic” has many definitions. As a branch of philosophy, scholars devote their entire careers to its practice. This being said, creating a Logic Model is not an easy task as there is no rigid step-by-step process for developing such a model. The challenge for a logic modeler is to find and accurately represent the wisdom of those who know best how community change happens. However, wisdom often becomes magical assumptions, poor reasoning and fuzzy thinking causing the efforts to solve a community problem to become counterintuitive. There is always a risk that the “cure” could be worse than the “disease” therefore, it is important for the model team to keep focused on both the plan and the real-life experiences of the community members.
A Logic Model ought to be logical however, logic itself is as diverse as those who are trying to apply it. That being said, those who are trying to follow your logic may magnify any inconsistencies or inaccuracies. Keep in mind, no model can be perfect.
Establishing appropriate boundaries of a Logic Model can be difficult yet, at the same time, it would be unproductive to map every possible change associated with the model plan. Another challenge of the modeler is to include enough depth so the organizational context is clear, without losing sight of the reasons for developing the model in the first place.
Using a Logic Model can be time consuming, require a high degree of specificity and risks oversimplifying complex relationships as it relies on skilled artists to convey complex ideas.
http://ctb.ku.edu/en/tablecontents/sub_section_main_1877.aspx
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