Advanced Monitoring & Evaluation in International Education Development

Catalog description

This advanced-level course builds on foundational statistical knowledge to provide students with practical, hands-on experience in quantitative methods for monitoring and evaluation (M&E) in international education and development contexts. Open to graduate students across programs, the course combines theoretical understanding with applied data analysis using STATA, emphasizing essential methods such as randomized experiments, and various quasi-experimental designs for causal inference. Students will explore a range of quantitative methodologies, including logit/probit models, propensity score matching, difference-in-differences, regression discontinuity, and other quasi-experimental approaches. Through interactive labs, research papers/case studies, and guided practice, students will strengthen their ability to analyze complex data, interpret results critically, and design effective research tools—skills vital for careers in research, policy evaluation, and international development. Prerequisites: Introductory Statistics and basic familiarity with STATA.