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Chapter 9
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 controlthe 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. Thisis a sequentially step-down rejecti ve 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.
Complex Samples General Linear Model Estimated Means
Figure 9-5
General LinearModel Estimated Means dialog box