There are weaknesses to every kind of research method. For example, in a correlational study, it is hard not to suggest that correlation and causation go hand in hand. This particular used a mixture of two research methods, descriptive and correlational. It was descriptive because the participants were put in a situation and observed. However, they were also put in a natural situation of a game that allowed for the experiment to assume the data received was correlational. The participants were allowed to form teams and when this happened, the third person felt left out. This is a correlation because it allows the researchers to examine how being excluded can lead to other feelings of rejection. Combining the two research methods, Betts was able to examine a wider range of data then if it was just one or the other. By doing this, he was able to provide a more credible claim that had more …show more content…
Confounding variables are different variables in the experiment that were not controlled and changed the result of the experiment. These variables should be controlled in an experiment at all costs to avoid a false result. A possible confounding variable in this experiment could be the gender of the participants in a group. If there are two males and one female, the males might have a greater chance of forming a team. Another confounding variable could be the state of the individual going into the experiment. If the participant already struggled with feelings of rejection and depression, this could produce a more extreme reaction. However, if there is a large sample size, the confounding variables and extreme effects should balance out. The fact that humans feel rejected when they are excluded from a group is a natural occurring feeling. It will occur no matter what confounding variable there are. Based on this decision, this is a credible