This design is frequently used to infer causal relationships. Observations are made before and after an intervention in different conditions, and the data is collected and analyzed to identify correlations.
This design is frequently used to infer causal relationships. Observations are made before and after an intervention in different conditions, and the data is collected and analyzed to identify correlations.