Quasi-Experimental Design and Methods: Methodological Briefs - Impact Evaluation No. 8
Howard White, Shagun Sabarwal
Abstract
Open-access reader
Howard White, Shagun Sabarwal
Abstract
Open-access reader
Quasi-experimental research designs, like experimental designs, test causal hypotheses. Quasi-experimental designs identify a comparison group that is as similar as possible to the intervention group in terms of baseline (pre-intervention) characteristics. The comparison group captures what would have been the outcomes if the programme/policy had not been implemented (i.e., the counterfactual). The key difference between an experimental and quasi-experimental design is that the latter lacks random assignment.
OpenAlex reports 66 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Quasi-experimental research designs, like experimental designs, test causal hypotheses. Quasi-experimental designs identify a comparison group that is as similar as possible to the intervention group in terms of baseline (pre-intervention) characteristics. The comparison group captures what would have been the outcomes if the programme/policy had not been implemented (i.e., the counterfactual). The key difference between an experimental and quasi-experimental design is that the latter lacks random assignment.
Key concepts: Counterfactual thinking, Random assignment, Quasi-experiment, Design of experiments, Randomized experiment, Baseline (sea), Intervention (counseling), Experimental research