Teaching

• Causal Inference

  • In this course, we will focus on framing research questions with a causal lens and on research designs and analytic techniques that provide the tools for answering these key questions in a causal framework. Specifically, we will learn about research designs for drawing causal inferences, including randomized trials, regression discontinuity, differences-in-differences, instrumental variables, and propensity score and other matching techniques.

• Research Methods

  • This course is designed to introduce you to the basic concepts and specialized terminology of research methodology and to the important features of a variety of research approaches. The primary goal of this course is to help you become an intelligent consumer of research. The lectures, readings, discussions, and exercises are all intended to help you develop an understanding of the interrelated roles of research design, measurement, and statistics in the research process and to make you aware of the methodological decisions researchers must make.

Organizations, Networks, and Education Policy

• This course focuses on the role of education policy in supporting equitable social structures through a focus on the dynamics of policy implementation. It draws on a broad set of theory-driven and applied texts in education policy, organizational science, political science, and sociology.

Data Management

• This class focuses on finding data and preparing it for analysis. The course has four modules: introduction, data collection, data cleaning, and analysis. The introduction will orient students towards the course structure and describe STATA’s programming capabilities. In the data collection module we will explore available datasets, access them, and transform them into files usable for analysis. We will learn how to clean raw data for analysis. Finally we will explore how to make high quality figures by incorporating the principles of design. By the conclusion of the course you will have a program that will render a dataset ready for analysis.