User Guide

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Model Selection Loglinear Analysis
Display for Saturated Model. For a saturated model, you can choose Parameter
estimates
. The parameter estimates may help determine which terms can be dropped
from the model. An association table, which lists tests of partial association, is also
available. This option is computationally expensive for tables with many factors.
Plot. For custom models, you can choose one or both types of plots, Residuals and
Normal probability. These will help determine how well a model fits the data.
Model Criteria. SPSS uses an iterative proportional-fitting algorithm to obtain
parameter estimates. You can override one or more of the estimation criteria by
specifying
Maximum iterations, Convergence, or Delta (a value added to all cell
frequencies for saturated models).
HILOGLINEAR Command Additional Features
The SPSS command language also allows you to:
 Specify cell weights in matrix form (using the CWEIGHT subcommand).
 Generate analyses of several models with a single command (using the DESIGN
subcommand).
See the SPSS Syntax Reference Guide for complete syntax information.