Powers

We look at the designs from different angles with respect to the power calculation. Some of the powers we present here are not present in any other commercial software. Here you will find detailed information on how we calculate them.

The information on this interactive table helps assess how good a design is regarding the capacity to estimate each effect type. The table has three columns:

• Model (1st column): underlying set of effects considered for the power calculation. Only models that are estimable within the design are displayed. The models may be one of the following:
  • Model with a constant term (intercept)
  • Model with a constant term and main effects (me)
  • Model with a constant term, main effects, and two-factor interaction effects (meie)
  • Model with a constant term, main effects, two-factor interaction effects, and quadratic effects (mesoe)
  • Model with a constant term, main effects, and quadratic effects (meqe)
• Effects (2nd column): the effect type considered. It can be one of the following:
  • Main effect (main)
  • Two-factor interaction effect (interaction)
  • Quadratic effect (quadratic)
• Value (3rd column): minimum value of the power to detect one effect of the type mentioned in the second column when the underlying model has the effects mentioned in the first column.

Try to change the values of $\alpha$ and the signal-to-noise ratio (SNR) to see how the values of the power change.