Mixed between-within subjects ANOVA: Model

The Model dialog specifies the effects to be analyzed.

Specify model
You can analyze a full factorial model (all main effects for covariates, and all main effects and interactions among factors), a custom model (subset of interactions and main effects), or specify particular terms (for example, for nested designs).
Full factorial
A full factorial model contains all factor main effects, all covariate main effects, and all factor-by-factor interactions. It does not contain covariate interactions. By default, a full factorial model is analyzed (when neither Generate terms nor Write terms are selected).
Generate terms
The model depends on the nature of your data. Clicking Generate terms allows you to select the main effects and interactions that are of interest in your analysis. For more information, see Generate terms and Write terms.
Write terms
Select to include nested terms or when you want to explicitly build any term variable-by-variable. For more information, see Generate terms and Write terms.
Intercept
The intercept is the estimate of the dependent variable when all independent variables are 0. If you can assume that the data pass through the origin, you can exclude the intercept.
Include intercept in model
The intercept is usually included in the model. If you can assume that the data pass through the origin, you can exclude the intercept.
Sum of squares
The method of calculating the sums of squares. For balanced or unbalanced models with no missing cells, the Type III sum-of-squares method is most commonly used. For more information, see Sum of squares.

Obtaining models for Mixed between-within subjects ANOVA

This feature requires Custom Tables and Advanced Statistics.

  1. From the menus choose:

    Analyze > Group comparison - parametric > Mixed between-within subjects ANOVA

  2. Define your factors.
  3. Expand the Additional settings menu and click Model.
  4. In the Model dialog, select Generate terms.
  5. Select a method for building the terms from the Type list.
  6. Select one or more between-subjects factors.
  7. Repeat these steps for between-subjects factors and covariates until you have the model you want. The interaction of each between-subjects term with each within-subjects term is automatically included in the model. That is, if W is a within-subjects factor in the model and B is a between-subjects factor in the model, W*B will be in the model.
  8. Optionally, you can change the type of sum of squares.
Note: Do not use the same term more than once in the model.