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Regular version of the site
Master 2021/2022

Experiments in Education

Type: Elective course (Evidence-based Education Development)
Area of studies: Public Administration
When: 2 year, 2 module
Mode of studies: offline
Open to: students of one campus
Instructors: Kseniya Adamovich, Iuliia Gerasimova, Anastasia Kapuza, Prashant Loyalka
Master’s programme: Доказательное развитие образования
Language: English
ECTS credits: 3
Contact hours: 24

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

Learning Objectives

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

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

Course Contents

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

Assessment Elements

  • non-blocking Homeworks
  • non-blocking Project
Interim Assessment

Interim Assessment

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

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