Designing
& Running Analyses
(Continued)
Analyses are specified by using a
keyword. All analysis keywords can be abbreviated by
using the first two characters of the keyword. For
example, Frequencies can be abbreviated as FR, Banners
can be abbreviated as BA, and so on.
Some analyses also require that an option
be specified. For example, there are a number of ways
that a frequency analysis can be performed, depending on
the data. Frequencies on multiple response data requires
using the MR option, and frequencies on open-ended
comments requires using the OE option to code the
responses into categories.
The following options have profound
impact on how the analyses are formed.
| StatPac Keyword |
Special Option |
Type of Analysis |
| LIST |
None |
Listing
data |
| FREQUENCIES |
None |
Frequency
analyses of one or more variables showing each
one on a separate page |
| FREQUENCIES |
MR=Y |
Multiple
response frequency analysis |
| FREQUENCIES |
OA=Y |
Frequency
analysis of several variables with the same value
labels, showing all the results on one page |
| FREQUENCIES |
OE=Y |
Frequency
analysis with coding of an open-ended variable |
| CROSSTABS |
None |
Two
and three-way crosstabs |
| BANNERS |
TY=C
TY=P |
Banner
table with either categorical or parametric stub
variables |
| DESCRIPTIVES |
None |
Descriptive
statistics for one or more variables showing each
one on a separate page |
| DESCRIPTIVES |
OA=Y |
Descriptive
statistics for several variables, showing all the
results on one page |
| BREAKDOWN |
None |
Descriptive
statistics for a variable broken down by one or
more subgroup variables |
| TTEST |
None |
Matched
pairs t-test and independent samples t-test |
| CORRELATE |
TY=P
TY=S |
Pearson's
and Spearman's correlation analysis |
|
