# Logit Loglinear Analysis Options

The Logit Loglinear Analysis procedure displays model information and goodness-of-fit statistics. In addition, you can choose one or more of the following options:

**Display.** Several statistics are available for display: observed and expected
cell frequencies; raw, adjusted, and deviance residuals; a design
matrix of the model; and parameter estimates for the model.

**Plot.** Plots available for custom models include two scatterplot matrices
(adjusted residuals or deviance residuals against observed and expected
cell counts). You can also display normal probability and detrended
normal plots of adjusted residuals or deviance residuals.

**Confidence Interval.** The confidence interval for parameter estimates can be adjusted.

**Criteria.** The Newton-Raphson method is used to obtain maximum likelihood parameter
estimates. You can enter new values for the maximum number of iterations,
the convergence criterion, and delta (a constant added to all cells
for initial approximations). Delta remains in the cells for saturated
models.

Specifying Options for Logit Loglinear Analysis

This feature requires SPSS® Statistics Standard Edition or the Advanced Statistics Option.

- From the menus choose:
- In the Logit Loglinear Analysis dialog box, click Options.