kvaziexperimentálním

Kvaziexperimentální refers to a research approach that shares characteristics with true experiments but lacks full control over all variables. Unlike randomized controlled trials where participants are randomly assigned to treatment and control groups, in quasi-experimental designs, this assignment is not random. This might be due to ethical considerations, practical limitations, or the nature of the phenomenon being studied.

Common quasi-experimental designs include non-equivalent groups designs, time-series designs, and interrupted time-series designs. In a non-equivalent groups design, researchers compare outcomes between pre-existing groups that are not formed through random assignment. Time-series designs involve repeated measurements of a dependent variable over time, often before and after an intervention. An interrupted time-series design is similar but specifically looks for a change in the trend of the time series after the intervention.

The primary limitation of quasi-experimental research is the increased risk of confounding variables. Because participants are not randomly assigned, pre-existing differences between groups can influence the outcome, making it harder to establish a clear cause-and-effect relationship. However, quasi-experimental designs are valuable when true experiments are not feasible. They allow researchers to investigate the impact of interventions or events in real-world settings and can provide strong evidence, particularly when combined with careful statistical analysis and consideration of potential biases. They are widely used in fields such as education, public health, and social sciences.