69
Complex Samples Ordinal Regression
Designeffect. The ratio of the variance of theestimate to the variance obtained by assuming
that the sample is a simple randomsample. This is a measure of the effect of specifying a
complex design, where values further from 1 indicate greater effects.
Squareroot o f design effect. This is a measure, expr essed in units comparable to those of
the standard error,of the effect of specifying a complex design, where values further from
1 indicate greater effects.
ParallelLines. Thisgroup allows you to request statistics associated with a model with nonparallel
lines where a separate regression line is fitted for each response category (except the last).
Wald test. Produces a test of the n ull hypothesis that regression parameters are equal for all
cumulative responses. The model with nonparallel lines is estimated and the Wald test of
equal parameters is applied.
Parameterestimates. Displays estimates of the coefficients and standard errors for the model
with nonparallel lines.
Covariances of parameter estimates. Displays an estimate of the covariance matrix for the
coefficients of the model with nonparallel lines.
Summary statistics for model variables. Displays summary information about the dependent
variable, covariates, and factors.
Sample design information. Displays summary information a bout the sample, including the
unweighted count and the population size.
Complex Samples Hypothesis Tests
Figure 11-5
Hypothesis Testsdialog box