Fitting Linear Models > Generalized Linear Mixed Models > Model Fit Reports > Random Effects Covariance Parameter Estimates
Publication date: 07/08/2024

Image shown hereRandom 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.

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