Graduate-level course applying economic theory and empirical evidence to education policy challenges in low- and middle-income countries. Covers topics including education demand, school access, instructional quality, teacher incentives, and policy implementation. Draws on labor, development, and behavioral economics to examine both the quantity and quality of education.
Intermediate course on the design, analysis, and interpretation of educational and psychological measurement. Topics include classical test theory, generalizability theory, item response theory, scaling, linking, standard setting, measurement error adjustments, and differential item functioning. Students apply statistical and psychometric techniques to real-world data, critique research, and develop an original measurement-focused project.
Intermediate course on modeling clustered and longitudinal data using multilevel and generalized multilevel models. Topics include random-intercept, random-slope, mixed-effect, crossed-effect, and growth-curve models, with applications in R.
Intermediate course for applied educational research extending. Topics include linear and generalized linear models, survival analysis, multilevel models, causal inference, and measurement.