Experiments in Education

2021/2022

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Институт образования

Статус:

Курс по выбору

Когда читается:

2-й курс, 2 модуль

Преподаватели

Адамович Ксения Александровна

Герасимова Юлия Олеговна

Course Syllabus

Abstract

The use of randomized experiments in education has become increasingly popular and prevalent in educational research. The Department of Education in the United States, for example, has labeled randomized experiments as the “gold standard” in educational research. The World Bank often requires developing countries to use randomization in determining the assignment and use of new educational innovations. The focus and goal of this course is for participants to have the basic tools to plan and to conduct randomized experiments. We will cover a number of major topics including the potential outcome model, the counterfactual problem and the stable unit treatment value assumption. We will also deal with i) sample size and power, ii) the analysis of experimental data, and iii) threats to the internal and external validity of experimental designs.

Learning Objectives

• To have the basic tools to plan and to conduct randomized experiments

Expected Learning Outcomes

• To conduct the analysis of experimental data
• To dealing with threats to the internal and external validity of experimental designs
• To differentiate the potential outcome model and the counterfactual problem
• To estimate sample size and power
• To understand threats to the internal and external validity of experimental designs

Course Contents

• Randomized Experiments: introduction, design, sampling and data analysis
• Dealing with threats to validity of randomized experiments

Assessment Elements

• Homeworks
• Project

Interim Assessment

• 2021/2022 2nd module
  0.6 * Homeworks + 0.4 * Project

Bibliography

Recommended Core Bibliography

• Experimental and quasi-experimental designs for generalized causal inference, Shadish, W. R., 2002

Recommended Additional Bibliography

• Methods matter : improving causal inference in educational and social science research, Murnane, R. J., 2011