# General Build Options (generalized linear mixed models)

These selections specify some more advanced criteria used to build the model.

- Sorting Order
- These controls determine the order of the categories for the target and factors (categorical inputs) for purposes of determining the "last" category. The target sort order setting is ignored if the target is not categorical or if a custom reference category is specified on the Target (generalized linear mixed models) settings.
- Stopping Rules
- You can specify the maximum number of iterations the algorithm will execute. The algorithm uses a doubly iterative process that consists of an inner loop and an outer loop. The value that is specified for the maximum number of iterations applies to both loops. Specify a non-negative integer. The default is 100.
- Post-Estimation Settings
- These settings determine how some of the model output is computed for viewing.
- Confidence level (%)
- This is the level of confidence used to compute interval estimates of the model coefficients.
Specify a value greater than 0 and less than 100. The default is 95.
- Degrees of freedom
- This specifies how degrees of freedom are computed for significance tests. Choose Residual method if your sample size is sufficiently large, or the data are balanced, or the model uses a simpler covariance type (for example, scaled identity or diagonal). This is the default setting. Choose Satterthwaite approximation if your sample size is small, or the data are unbalanced, or the model uses a complicated covariance type (for example, unstructured). Choose Kenward-Roger approximation if your sample size is small and you have a Restricted Maximum Likelihood (REML) model.
- Tests of fixed effects and coefficients
- This is the method for computing the parameter estimates covariance matrix. Choose the robust estimate if you are concerned that the model assumptions are violated.