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Chapter 11
Test Statistic. This group allows you to select the type of statistic used for testing hypotheses. You
can choose between F,adjustedF, chi-square, and adjusted chi-square.
Sampling Degrees of Freedom. This group gives you control over the sampling design degrees of
freedomusedtocomputep values for all test statistics. If based on the sampling design, the value
is the difference between the number of primary sampling units and the number of strata in the
first stage of sampling. Alternatively, you can set a custom degrees of freedom by specifying a
positive integer.
Adjustment for Multiple Comparisons. When performing hypothesis tests with multiple contrasts,
the overall significance level can be adjusted from the significance levels for the included
contrasts. This group allows you to choose the adjustment method.
Least significant difference. This method does not control the overall probability of rejecting
the hypotheses that some linear contrasts are different from the null hypothesis values.
Sequential Sidak. This is a sequentially step-down rejective Sidak procedure that is much
less conservative in terms of rejecting individual hypotheses but maintains the same overall
significance level.
Sequential Bonferroni. This is a sequentially step-down rejective Bonferroni procedure that is
much less conservative in terms of rejecting individual hypotheses but maintains the same
overall significance level.
Sidak. This method provides tighter bounds than the Bonferroni approach.
Bonferroni. This method adjusts the observed significance level for the fact that multiple
contrasts are being tested.
Complex Samples Ordinal Regression Odds Ratios
Figure 11-6
Ordinal Regression Odds Ratios dialog box
The Odds Ratios dialog box allows you to display the model-estimated cumulative odds ratios for
specified factors and covariates. This feature is only available for models using the Logit link
function. A single cumulative odds ratio is computed for all categories of the dependent variable
except the last; the proportional odds model postulates that they are all equal.