Description: Quasi-experimental methods are research approaches used to evaluate the impact of interventions or treatments in contexts where random assignment to control and experimental groups is not possible. Unlike random experiments, where participants are randomly assigned to different conditions, quasi-experimental methods leverage situations where groups are already formed or where interventions are implemented in natural settings. These methods are particularly useful in various fields, including social sciences, education, and health, where ethical, logistical, or practical constraints may prevent random assignment. The main characteristics of quasi-experimental methods include group comparison, the use of observational data, and the application of statistical techniques to control for confounding variables. Through these methods, researchers can infer causal relationships and assess the effectiveness of programs or policies, albeit with a lower degree of control than in random experiments. The relevance of quasi-experimental methods lies in their ability to provide valuable evidence in real-world situations where randomization is not feasible, thus allowing for a better understanding of how interventions can influence outcomes in diverse contexts.
