Random Coefficients

For each random effect in the model, the Mixed Model report contains a section that shows estimated coefficients and a section that shows the matrix of covariance estimates. For discrete random effects, each row of the coefficients report corresponds to one level of the random effect. The row shows all coefficient estimates associated with that level of the random effect. For continuous random effects, there is only one row per effect in the report. The random coefficient estimates are used in conjunction with fixed effect estimates to create predictions for any specific level of the random effect.

Random Effects Predictions

For each random effect in the model, the Random Effects Predictions report in the Mixed Model personality provides an estimate known as the best linear unbiased predictor (BLUP), its standard error, degrees of freedom, and a Satterthwaite-based confidence interval.

Estimation of the standard errors requires calculation of the BLUP covariance matrix, which can be time-intensive. If the calculation time is noticeable, a progress bar appears.