Random Effects Covariance Parameter Estimates
In the Generalized Linear Mixed Model report, the Random Effects Covariance Parameter Estimates section describes the covariance parameters for the random effects that you specified in the model.
Variance Component
The variance components for the random effects that you specified in the model.
Estimate
The estimated variance component for the effect.
Std Error
The standard error for the covariance component estimate.
95% Lower, 95% Upper
The lower and upper 95% confidence limits for the variance component. You can change the α level in the Fit Model launch window by selecting Set Alpha Level from the Model Specification red triangle menu. See “Confidence Intervals for Variance Components”.
Wald p-Value
(Appears only when the Unbounded Variance Components option is selected in the Fit Model launch window.) The p-value for the test that the variance parameter is equal to zero.