What is an independent measures design ?
An independent measures design is a research technique that uses two variables to test the relationship between them. The first variable will be manipulated and changed, while the second one remains constant. For example, in an experiment testing whether or not watching violence on TV affects aggression levels, one group would watch violent TV clips and another group would watch non-violent TV clips. The dependent variable would be aggression, which would be measured in both groups after watching the TV clips.
Let’s talk more detail about what is an independent measures design. The independent measures design is sometimes also called a between-subjects design, because it involves two different groups of subjects (those who watch the violent TV clips and those who watch the non-violent TV clips). This research design is often used in experiments because it allows researchers to control for any confounding variables that might affect the results.
It’s important to note that an independent measures design can only test for a relationship between two variables – it can’t determine whether one variable causes another. For example, in the TV violence experiment, we can’t say for sure that watching violence on TV causes aggression. It could be that aggressive people are more likely to seek out violent TV shows, or there might be some other third variable that is responsible for the relationship between TV violence and aggression.
Despite these limitations, the independent measures design is a powerful research tool that can tell us a lot about the relationships between different variables.