User Guide

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Chapter 28
Criteria. Available alternatives are Use F value and Use probability of F. Enter values
for entering and removing variables.
 Use F value. A variable is entered into the model if its F value is greater than the
Entry value and is removed if the F value is less than the Removal value. Entry
must be grea
ter than Removal, and both values must be positive. To enter more
variables into the model, lower the Entry value. To remove more variables from
the model, increase the Removal value.
 Use probability of F. A variable is entered into the model if the significance level of
its F value
is less than the Entry value and is removed if the significance level
is greater than the Removal value. Entry must be less than Removal, and both
values must be positive. To enter more variables into the model, increase the
Entry valu
e. To remove more variables from the model, lower the Removal value.
Display. Summary of steps displays statistics for all variables after each step; Ffor
pairwise distances
displays a matrix of pairwise F ratios for each pair of groups.
Discriminant Analysis Classification
Figure 28
-7
Discrimi
nant Analysis Classification dialog box
Prior Probabilities. These values are used in classification. You can specify equal prior
probabilities for all groups, or you can let the observed group sizes in your sample
determine the probabilities of group membership.
Display. Available display options are casewise results, summary table, and
leave-one-out classification.