SPSS® 12.0 Command Syntax Reference

1066 NOMREG
mates convergence criteria should be used. This means that the procedure will stop when
either 100 iterations or five step-halving operations have been performed.
• INTERCEPT specifies that the intercept should be excluded from the model.
• PRINT specifies that the classification table, goodness-of-fit statistics, parameter statistics,
model summary, and likelihood-ratio tests should be displayed.
CRITERIA Subcommand
The CRITERIA subcommand offers controls on the iterative algorithm used for estimation
and specifies numerical tolerance for checking singularity.
BIAS(n) Bias value added to observed cell frequency. Specify a non-negative
value less than 1. The default value is 0.
CHKSEP(n) Starting iteration for checking for complete separation. Specify a nonnegative
integer. The default value is 20.
CIN(n) Confidence interval level. Specify a value greater than or equal to 0
and less than 100. The default value is 95.
DELTA(n) Delta value added to zero cell frequency. Specify a non-negative value
less than 1. The default value is 0.
LCONVERGE(n) Log-likelihood function convergence criterion. Convergence is assumed
if the absolute change or relative change in the log-likelihood function is
less than this value. The criterion is not used if the value is 0. Specify a
non-negative value. The default value is 0.
MXITER(n) Maximum number of iterations. Specify a positive integer. The default
value is 100.
MXSTEP(n) Maximum step-halving allowed. Specify a positive integer. The default
value is 5.
PCONVERGE(a) Parameter estimates convergence criterion. Convergence is assumed
if the absolute change or relative change in the parameter estimates is
less than this value. The criterion is not used if the value is 0. Specify
a non-negative value. The default value is 10 . 6 –
SINGULAR(a) Value used as tolerance in checking singularity. Specify a positive
value. The default value is 10 . 8 –
FULLFACTORIAL Subcommand
The FULLFACTORIAL subcommand generates a specific model: first, the intercept (if included);
second, all of the covariates (if specified), in the order in which they are specified; next,
all of the main factorial effects; next, all of the two-way factorial interaction effects, all of the
three-way factorial interaction effects, and so on, up to the highest possible interaction effect.
• The FULLFACTORIAL and the MODEL subcommands are mutually exclusive. Only one of
them can be specified at any time.