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Complex Samples Ordinal Regression

„Design effect. The ratio of the variance of the estimate to the variance obtained by assuming that the sample is a simple random sample. This is a measure of the effect of specifying a complex design, where values further from 1 indicate greater effects.

„Square root of design effect. This is a measure, expressed 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.

Parallel Lines. This group 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 null 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.

„Parameter estimates. 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 about the sample, including the unweighted count and the population size.

Complex Samples Hypothesis Tests

Figure 11-5

Hypothesis Tests dialog box

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IBM SPSS COMPLEX SAMPLES 19 manual Complex Samples Hypothesis Tests