The nominal logistic model fits a parameter for the intercept and slope for each of k − 1 logistic comparisons, where k is the number of response levels. The ordinal logistic model fits a single slope for each comparison. The Parameter Estimates report in the Logistic platform lists these estimates. Each parameter estimate can be examined and tested individually, although this is seldom of much interest.
Term
The parameters in the logistic model. There is an intercept and a slope term for the factor at each level of the response variable, except the last level. Ordinal logistic models contain only one slope term.
Estimate
The parameter estimates given by the logistic model.
Std Error
The standard error of each parameter estimate. The standard errors are used to compute the statistical tests that compare each term to zero.
Chi-Square
The Wald tests for the hypotheses that each of the parameters is zero. The Wald chi-square is computed as (Estimate / Std Error)2.
Prob>ChiSq
The observed significance probabilities (p-values) for the chi-square tests.
Reports the estimated variances of the parameter estimates, and the estimated covariances between the parameter estimates. The square root of the variance estimates is the same as those that appear in the Std Error column of the Parameter Estimates table.
Note: The Covariance of Estimates report appears only for nominal response variables, and does not appear for ordinal response variables.