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Complex Samples Ordinal Regression
Estimation Method. You can select a parameter estimation method; choose between
Newton-Raphson, Fisher scoring, or a hybrid method in which Fisher scoring iterations are
performed before switching to the Newton-Raphson method. If convergence is achieved during
the Fisher scoring phase of the hybrid method before the maximum number of Fisher iterations is
reached, the algorithm continues with the Newton-Raphson method.
Estimation. This group gives yo u control of various criteria used in the model estimation.
Maximum Iterations. The maximum number of iterations the algorithm will execute. Specify a
non-negative integer.
Maximum Step-Halving. At each iteration, the step size is reduced by a factor of 0.5 until the
log-likelihood increases or maximum step-halving is reached. Specify a positive integer.
Limit iterations based on change in parameter estimates. When selected, the algorithm stops
after an iteration in which the absolute or relative change in the parameter estimates is less
than the value specified, which must be non-negative.
Limit iterations based on change in log-likelihood. When selected, the algorithm stops after an
iteration in which the absolute or relative change in the log-likelihood function is less than the
value specified, which must be non-negative.
Check for complete separation of data points. When selected, the algorithm performs tests to
ensure that the parameter estimates have unique values. Separation occurs when the procedure
can produce a model that correctly classifies every case.
Display iteration history. Displays parameter estimates and statistics at every n iterations
beginning with the 0
th
iteration (the initial estimates). If you choose to print the iteration
history, the last iteration is always printed regardless of the value of n.
User-Missing Values. Scale design variables, as well as the dependent variable and any covariates,
should have valid data. Cases with invalid data for any of these variables are deleted from the
analysis. These controls allow you to decide whether user-missing values are treated as valid
among the strata, cluster, subpopulation, and factor variables.
Confidence Interval. This is the confidence interval level for coefficient estimates, exponentiated
coefficient estimates, and odds ratios. Specify a value greater than or equal to 50 and less than 100.
CSORDINAL Command Additional Features
The command syntax language also allows you to:
Specify custom tests of effects versus a linear combination of effects or a value (using the
CUSTOM subcommand).
Fix values of other model variables at values other than their means when computing
cumulative odds ratios for factors and covariates (using the
ODDSRATIOS subcommand).
Use unlabeled values as custom reference categories for factors when odds ratios are requested
(using the
ODDSRATIOS subcommand).
Specify a tolerance value for checking singularity (using the CRITERIA subcommand).
Produce a general estimable function table (using the PRINT subcommand).
Save more than 25 probability variables (using the SAVE subcommand).
See the Command Syntax Reference for complete syntax information.