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Complex Samples Logistic Regression
Complex Samples Hypothesis Tests
Figure 10-5
Hypothesis Testsdialog box
TestStatistic. This group allows you to selectthe type of statistic used for testing hypotheses. You
can choose between F,adjustedF, chi-square, and adjusted chi-square.
SamplingDegrees of Freedom. This group gives you control over the sampling design degrees of
freedomusedtocomputepvaluesfor all test statistics. If based on the sampling design, the value
is the differencebetween 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.
Adjustmentfor Multip le Comparisons. When performing hypothesis tests with multiple contrasts,
the overall significance level can be adjusted from the significancel evels for the included
contrasts. This group allows you to choose the adjustment method.
Leastsignificant difference. This method does not control the overall probability of rejecting
the hypothesesthat some linear contrasts are different from the null hypothesis values.
SequentialSidak. 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.
SequentialBonferroni. This is a sequentially step-down rejective Bonferroni procedure that is
much less conservative in terms of rejecting individualhypotheses but maintains the same
overall significance level.
Sidak. This method providestighter bounds than the Bonferroni approach.
Bonferroni. This method adjusts the observed significance level for the fact that multiple
contrasts are being tested.