What are the differences between an independent groups design and a repeated measures design?
Also question is, what is an independent measures design?
Independent Measures Design. An independent measures design is a research method in which multiple experimental groups are used and participants are only in one group. Each participant is only in one condition of the independent variable during the experiment.
Additionally, what is the primary advantage of a repeated measures design over an independent measures design? One of the primary advantages of a repeated measures design, compared to independent measures, is that it reduces the overall variability by removing variance caused by individual differences. The following data are from a research study comparing three treatment conditions.
Also, what is the main difference between a between groups research design and a within groups research design?
There are two ways to look at the data about these groups. Between-group differences show how two or more groups are different, whereas within-group differences show differences among subjects who are in the same group. Within-group differences can come to light when looking at a between-group research study.
Why is a repeated measures design considered a within subjects design?
That is, this makes within-subjects designs more able to detect an effect of the independent variable than are between-subjects designs. Within-subjects designs are often called "repeated-measures" designs since repeated measurements are taken for each subject.