Quantitative Evaluation of Large-Scale Programs

Designing and implementing large-scale social or health programs is only half the battle; measuring their actual impact requires rigorous data analysis. Transforming raw survey data and evaluation plans into clear, actionable findings is essential for making evidence-based funding and management decisions. This course equips you with the foundational skills to design structured analysis plans, process large-scale quantitative data, and interpret results accurately. You will learn how to translate complex evaluation questions into clear statistical outputs that inform policy and improve program outcomes. What you'll learn: - Understand the core terminology and frameworks of large-scale program evaluation and measurement. - Develop a comprehensive quantitative analysis plan to address specific program evaluation questions. - Analyze primary and secondary survey data using structured, reproducible workflows. - Interpret statistical results to assess program impact on target populations. - Apply ethical data practices and privacy considerations when handling public health or social data. - Communicate data-driven findings clearly to stakeholders, funders, and program managers. The course begins with foundational concepts of program evaluation and quantitative metrics before guiding you through data preparation, statistical analysis, and the final interpretation of evaluation reports. This course is designed for aspiring program evaluators, health and social program managers, public policy students, and researchers. No prior background in advanced statistics is required. Start reading today to master the art of data-driven program evaluation.