Foundations of Impact Evaluation for Social Programs

Understanding the real impact of development initiatives and social programs is crucial for effective resource allocation and positive change. This course provides a foundational understanding of impact evaluation, enabling you to systematically assess whether interventions achieve their intended outcomes. What you'll learn: * Understand the fundamental principles of impact evaluation, causality, and counterfactuals. * Learn to design and implement robust Randomized Controlled Trials (RCTs) for intervention assessment. * Explore various quasi-experimental methods, such as Difference-in-Differences and Regression Discontinuity Design. * Apply basic statistical techniques, including regression analysis, to interpret evaluation data. * Analyze ethical considerations and best practices for responsible data collection and reporting in evaluations. * Develop the ability to interpret evaluation results and translate findings into actionable insights for program improvement. The course begins with core concepts of causal inference, then progresses through experimental and quasi-experimental designs, concluding with data analysis fundamentals and ethical considerations. This course is designed for beginners with no prior experience in impact evaluation or advanced statistics, ideal for individuals working in or aspiring to work in development, public policy, or social program management. Begin your journey to confidently measure and understand the true impact of social initiatives.