Final answer:
Selection treatment interaction refers to a situation where the relationship between the treatment and the outcome variable is different for different groups of participants.
Step-by-step explanation:
In the context of experimental design, selection treatment interaction refers to a situation where the relationship between the treatment and the outcome variable is different for different groups of participants.
For example, let's say you are conducting a study on the effectiveness of a new teaching method. You divide participants into two groups: Group A and Group B. Group A receives the new teaching method, while Group B receives the traditional teaching method. However, you notice that the effect of the new method is stronger for participants who have a higher level of prior knowledge, while it has no effect for participants with lower prior knowledge. This is an example of selection treatment interaction.
It is important to consider and account for selection treatment interaction in research studies to ensure accurate and valid results. Researchers use techniques like randomization and stratification to minimize the impact of selection treatment interaction and increase the generalizability of their findings.