Descriptive Statistics by Groups (Breakdown) Introductory
Overview  Arrangement of Data
In the following example data set (spreadsheet), the dependent variable
WCC (White Cell Count) can be
broken down by 2 independent
variables: Gender (values:
males and females),
and Height (values: tall
and short):

GENDER 
HEIGHT 
WCC 
case 1 
male 
short 
101 
case 2 
male 
tall 
110 
case 3 
male 
tall 
92 
case 4 
female 
tall 
112 
case 5 
female 
short 
95 
... 
... 
... 
... 
The resulting breakdowns might look as follows (we are assuming Gender was specified as the first independent
variable, and Height as the second):
Entire sample
Mean=100
SD=13
N=120 
Males
Mean=99
SD=13
N=60 
Females
Mean=101
SD=13
N=60 
Tall/males
Mean=98
SD=13
N=30 
Short/males
Mean=100
SD=13
N=30 
Tall/females
Mean=101
SD=13
N=30 
Short/females
Mean=101
SD=13
N=30 
The composition of the "intermediate" level cells of the "breakdown
tree" depends on the order in which independent variables are arranged.
For example, in the above example, you see the means for "all males"
and "all females" but you do not see the means for "all
tall subjects" and "all short subjects," which would have
been produced had you specified independent variable Height
as the first grouping
variable rather than the second. Thus, ideally, in a breakdown program
you should have an option to easily "reorder" independent variables
and thus see different "crosssections" of the data. The Basic
Statistics and Tables module gives you not only the option
to reorder the variables in the table, but it also allows you to compute
any marginal table in which you may be interested. For example, you could
easily compute the means for Tall
and Short individuals.