Regression Discontinuity Design (RDD) is a quasi-experimental pretest-posttest design that aims to identify causal effects by assigning a cutoff or threshold above or below which an intervention is assigned. It leverages the assumption that units just above and below the cutoff are similar in all respects except for the treatment, allowing for a comparison that mimics random assignment.

Regression Discontinuity Design

Quasi-experimental design is a research methodology that seeks to establish a cause-and-effect relationship by comparing groups that are not randomly assigned. It is often used in situations where random assignment is impractical or unethical, relying on pre-existing groups to infer causal relationships with caution due to potential confounding variables.

Quasi-experimental Design

A pretest-posttest design is an experimental approach used to measure the effect of an intervention by comparing outcomes before and after the treatment. It allows researchers to assess changes attributable to the intervention, though it may be susceptible to threats to internal validity such as maturation and testing effects.

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