Quasi-Experimental Designs for Causal Inference: An Overview.

Area of Science:

• Education research methodology
• Causal inference techniques

Background:

• Randomized control trials (RCTs) offer strong internal validity for causal inference in education.
• Ethical and practical constraints often limit the use of RCTs in educational settings.

Purpose of the Study:

• To introduce key quasi-experimental designs used in education research.
• To provide examples of these designs applied to educational contexts.

Main Methods:

• Overview of regression discontinuity design.
• Explanation of difference-in-differences analysis.
• Introduction to interrupted time series design.
• Description of instrumental variable analysis.
• Summary of propensity score analysis.

Main Results:

• Quasi-experimental designs offer viable alternatives for causal inference.
• These methods can be applied to various education research questions.
• Examples illustrate the practical application of each design.

Conclusions:

• Quasi-experimental methods are essential tools for education researchers.
• Understanding these designs enhances the ability to conduct rigorous causal inference.
• The paper provides a foundational guide for employing these alternative methodologies.