A different Q&K Model tab is generated for each combination of

Q and

K matrices. Each of these tabs contains one each of the following elements for each

trait variable:

This table shows the values of model information criteria for a specific combination of

Q and

K matrices. These values are displayed on the

Model Fitting Information plot alongside with other combinations of

Q and

K matrices and they can be used to compare and identify better fitting models to the current data

This table shows the covariance parameter estimates of all random effects present in a specific model. Random effects include the residual

variance, the variance attributed to the

K matrix, and the variance of any additional

Random Effects that might have been entered in the

Model Variables tab of the process dialog.