Description: It is now commonplace to use these tools in evaluation practice.
This course will focus on developing useful evidence-based logic models and program theories and using them effectively to guide evaluation and avoid some of the most common traps.
Application exercises are used throughout the course for demonstration of concepts and techniques: (a) as ways to use logic models, program theories, theory and research, and ChatGPT to positive advantage; (b) to formulate and prioritize key evaluation questions; (c) to gather credible and actionable evidence; (d) to understand and communicate ways they are used with negative results; and (e) strategies to avoid traps.
Recommended Audience: Audiences for this course include those who have familiarity and some experience in evaluation practice, and who want to explore using interest holder and research-informed program theories and logic models to guide the design and evaluation of programs.