Testing equivalence of means (related samples)

Test if there is equivalence of means of two related samples.

1. Select a cell in the dataset.
2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Compare Pairs, and then click TOST hypothesis test.
   The analysis task pane opens.
3. If the data consists of paired/repeated measurements in separate variables:
   1. In the Model drop-down menu, select Paired/Repeated.
   2. In the Y list, select the quantitative variables.
4. If the data consist of matched pairs with a separate response variable, factor variable, and blocking variable:
   1. In the Model drop-down menu, select Matched.
   2. In the Y drop-down list, select the quantitative response variable.
   3. In the X (factor) drop-down list, select the categorical factor variable identifying the groups.
   4. In the Block drop-down list, select the blocking variable identifying the matching.
5. In the Equivalence interval edit boxes, type the lower and upper bounds of the equivalence interval. For example, type-5 to +5 if differences between the means of ±5 is the effect size considered to be practically the same.
6. Optional: To compare the p-value against a predefined significance level, in the Significance level edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
7. Click Calculate.