IBM Water System SPSS COMPLEX SAMPLES 19 Manuel d'utilisateur Page 96

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Chapter 12
Nested Terms
You can build nested terms for your model in this procedure. Nested terms are useful for modeling
the effect of a factor or covariate whose values do not interact with the levels of another factor.
For example, a grocery store chain may follow the spending habits of its customers at several store
locations. Since each customer frequents o nly one of these locations, the Customer effect can be
said to be nested within the Store location effect.
Additionally, you can include interaction effects, such as polynomial terms involving the same
covariate, or add multiple levels of nesting to the nested term.
Limitations. Nested terms have the following restrictions:
All factors within an interaction must be unique. Thus, if A is a factor, then specifying A*A
is invalid.
All factors within a nested effect must be unique. Thus, if A is a factor, then specifying A(A)
is invalid.
No effect can be nested within a covariate. Thus, if A is a factor and X is a covariate, then
specifying A(X) is invalid.
Statistics
Figure 12-7
Cox Regression dialog box, Statistics tab
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