The Repeated Measures ANOVA is used to find out whether more than two related measurements from the same group or units are statistically different or not. These measurements typically represent different times or different but related conditions. It is the extension of the Paired-Samples T-Test to more than two measurements. The Repeated Measures ANOVA needs 3 or more related continuous variables that all are measured on the exact same scale. Together these form the dependent variable, the independent variable is defined by the difference between these measurements. The assumptions to be tested statistically are sphericity and for each measurement of the dependent variable to be approximately normally distributed.