Overview for Balanced ANOVA

Use Balanced ANOVA to fit least squares models and determine whether the means of two or more groups differ when you have categorical factors and a continuous response. The design must be balanced unless you have a one-way design. A balanced design has the same number of observations for each treatment combination. The model can include interaction terms, crossed and nested factors, and fixed and random factors.

For example, a company wants to determine whether operator, machine setting, and shift affects the viscosity of a coating substance. The design is balanced because all combinations of operator, setting, and shift have the same number of observations.

If you receive a warning that the data are unbalanced, you can perform cross tabulation to determine the number of observations for each factor level combination.

Where to find this analysis

To perform a balanced ANOVA, choose Stat > ANOVA > Balanced ANOVA.

When to use an alternate analysis

If your design is unbalanced, includes covariates, or you want to perform multiple comparisons between factor levels, use Fit General Linear Model if you have all fixed factors or Fit Mixed Effects Model if you have random factors..