Simulation is a valuable tool for understanding the structure of data. We will use simulation to study three classic educational research datasets: data from an experimental educational intervention, administrative data used to understand the role of schools and teachers, and item response data collected to understand students abilities. We will discuss the underlying rationale for the data collection and then use simulation to understand the statistical models used to analyze the data and the real-world implications of the data.
2-3 units · Letter or Credit/No Credit
Simulation is a valuable tool for understanding the structure of data. We will use simulation to study three classic educational research datasets: data from an experimental educational intervention, administrative data used to understand the role of schools and teachers, and item response data collected to understand students abilities. We will discuss the underlying rationale for the data collection and then use simulation to understand the statistical models used to analyze the data and the real-world implications of the data.
Offered in Spring 2026 at Stanford University.