Name the within-subject cells | Use the covariance specification | Why the relative means pattern matters | The default linear/Kronecker direction | The two sparse-cell interfaces | Calculation-only and unbalanced designs

A typical 2 x 2 design | More than three within-subject levels

Define the cells | Define within-subject correlations | Interpret the result | Multiple within-subject factors

Required sample size | Achieved power | Sensitivity | Planned nonsphericity | Comparison with G*Power | When to use simulations instead

Achieved power | Sensitivity | Covariance and calculated-power alternatives

Search for the required sample size | Adding factors and levels | Simulate a power curve | Run simulations in parallel | Next steps