In quasi-experimental design, which method is typically used to assess the effect on the dependent variable?

In a quasi-experimental design, the manipulation of the independent variable is essential for assessing its effect on the dependent variable. This approach allows researchers to infer causal relationships even when random assignment to conditions is not feasible, as is often the case with ethical or practical constraints.

In quasi-experiments, researchers implement treatments or interventions to observe their influence on outcomes, which are measured through the dependent variable. This manipulation might involve implementing an educational program, changing a policy, or applying a therapeutic technique. By systematically altering the independent variable, researchers can examine changes in the dependent variable, providing insights into potential causal links.

This methodology emphasizes the importance of treatment fidelity and comparison groups, which help to strengthen the validity of the conclusions drawn from the findings. Thus, the ability to manipulate the independent variable is a hallmark of quasi-experimental designs, helping to identify patterns and effects that can inform future research and practical applications.