General Linear Models: Effects

An effect is a combination of one or more factors which measures the difference in the predicted response value for different values of the factors. Effects define terms in the linear model and are specified when the model is selected. They can be of the following types:

• Classification effects
• Continuous effects
• Interactions between classification factors
• Polynomial terms of continuous factors
• Interactions between classification and continuous factors