If we have different sample of several repeated group experiment, can we calculate the mean between the group?
Computing data for repeated experiments requires repeated measures. It is generally applicable for medical experiments wherein the condition of the patient needs to be noted down regularly. The benefits of repeated measures are as follows:
- a) More statistical power
- b) Fewer subjects
- c) Quicker and cheaper
- d) Assess an effect over time
Repeated measures often require assessment using repeated measures ANOVA. ANOVA stands for ANalysis Of VAriance. It is an ‘analysis of dependencies’. It is referred so because it is a test to prove an assumed cause-effect relationship between the independent variable(s), if any, and the dependent variable(s). All ANOVAs compare one or more mean scores with each other; they are tests for the difference in mean scores. The repeated measures ANOVA compares means across one or more variables that are based on repeated observations. A repeated measures ANOVA model can also include zero or more independent variables. Again, a repeated measures ANOVA has at least one dependent variable that has more than one observation.