Assigning Data to Roles

To run the Mixed Models task, you must select an input data source. To filter the input data source, click Filter Icon

You must assign a column to the Dependent variable role.

Role	Description
Roles
Dependent variable	specifies the numeric variable to use as the dependent variable for the analysis. You must assign a numeric variable to this role.
Classification variables	specifies the classification variables to use in the model. Examples of classification variables are Treatment, Race, Group, Sex, and Replication.
Treatment of Missing Values
An observation is excluded from the analysis when either of these conditions is met: if any variable in the model contains a missing value if any classification variable contains a missing value (regardless of whether the classification variable is used in the model)
Continuous variables	specifies any continuous variables to include in the model.
Additional Roles
Weight	specifies the variable to use as a weight to perform a weighted analysis of the data.
Group analysis by	specifies to create a separate analysis for each group of observations.