Workshop description: When should we use logic models? How can we maximize their explanatory value and usefulness as an evaluation tool? This workshop will present three broad topics that will increase the value of using logic models. First, we’ll explore an expanded view of what forms logic models can take, including 1) the range of information that can be included, 2) the use of different forms and scales, 3) the types of relationships that may be represented, and 4) uses of models at different stages of the evaluation life cycle. This workshop will examine how to balance the relationship between visual design and information density in order to make the best use of models with various stakeholders and technical experts and consider epistemological issues in logic modeling, addressing 1) strengths and weaknesses of ‘models’, 2) relationships between models, measures, and methodologies, and 3) conditions under which logic models are and are not useful. Through lecture and both small and large group discussions, we will move beyond the traditional view of logic models to examine their applicability, value, and relatability to attendees’ experiences.
You will learn:
- The essential nature of a ‘model’, its strengths and weaknesses;
- Uses of logic models across the entire evaluation life cycle;
- The value of using multiple forms and scales of the same logic model for the same evaluation;
- Principles of good graphic design for logic models;
- Evaluation conditions under which logic models are, and are not, useful;
- The relationship among logic models, measurement, and methodology.