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Complex Samples Ordinal Regression
Estimation Method. Youcan 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-Raphsonmethod. If convergence is achieved during
the Fisher scoring phase of the hybrid method before the maximum number of Fisher iterations is
reached, the algorithm continueswith the Newton-Raphson method.
Estimation. This group gives you control of various criteria used in the model estimation.
MaximumIterations. The maximum number of iterations the algorithm will execute. Specify a
non-negative integer.
MaximumStep-Halving. At each iteration, the step size is reduced by a factor of 0.5 until the
log-likelihoodincreases or maximum step-halving is reached. Specifya positive integer.
Limititerations based onchange in parameter estimates. When selected, the algorithm stops
after an iteration in which theabsolute or relative change in the parameter estimates is less
than the value specified, which must be non-negative.
Limititerations based on change in log-likelihood. When selected, the algorithm stops after an
iterationin which the absolute or relative change in the log-likelihood function is less than the
value specified, which must be non-negative.
Checkfor complete separation of da tapoints. 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 niterations
beginning with the 0th 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-MissingValues. Scaledesign variables, as well as the dependent variable and any covariates,
should have validdata. Cases with invalid data for any of these variables are deletedfrom the
analysis. These controls allow you to decide whether user-missing values are treated as valid
among the strata, cluster,subpopulation, and factor variables.
ConfidenceInterval. This is the confidence interval level for coefficient estimates, exponentiated
coefficientestimates, and odds ratios. Specifya value greater than or equal to 50 and less than 100.
CSORDINAL Command Additional Features
The command syntax languagealso allows you to:
Specify custom tests of effectsversus a linear combination of effects or a value (using the
CUSTOM subcommand).
Fix values of other model variablesat values other than their means when computing
cumulativeodds ratios for factors and covariates (using the ODDSRATIOS subcommand).
Useunlabeled values as custom reference categories for factors when odds ratios are requested
(using the ODDSRATIOS subcommand).
Specify a tolerancevalue for checking singularity (using the CRITERIA subcommand).
Produce a general estimable function table (using the PRINT subcommand).
Save more than 25 probabilityvariables (using the SAVE subcommand).
See the Command Syntax Referencefor complete syntax information.