SPSS® 12.0 Command Syntax Reference

MULT RESPONSE
Overview
MULT RESPONSE†
{/GROUPS=groupname['label'](varlist ({value1,value2}))}
{value }
...[groupname...]
{/VARIABLES=varlist(min,max) [varlist...] }
{/FREQUENCIES=varlist }
{/TABLES=varlist BY varlist... [BY varlist] [(PAIRED)]}
[/varlist BY...]
[/MISSING=[{TABLE**}] [INCLUDE]]
{MDGROUP}
{MRGROUP}
[/FORMAT={LABELS**} {TABLE** } [DOUBLE]]
{NOLABELS} {CONDENSE}
{ONEPAGE }
[/BASE={CASES** }]
{RESPONSES}
[/CELLS=[COUNT**] [ROW] [COLUMN] [TOTAL] [ALL]]
†A minimum of two subcommands must be used: at least one from the pair GROUPS or VARIABLES and
one from the pair FREQUENCIES or TABLES.
**Default if the subcommand is omitted.
Example
MULT RESPONSE GROUPS=MAGS (TIME TO STONE (2))
/FREQUENCIES=MAGS.
MULT RESPONSE displays frequencies and optional percentages for multiple-response
items in univariate tables and multivariate crosstabulations. Another procedure that
analyzes multiple-response items is TABLES, which has most, but not all, of the capabilities
of MULT RESPONSE. TABLES has special formatting capabilities that make it useful
for presentations.
Multiple-response items are questions that can have more than one value for each case.
For example, the respondent may have been asked to circle all magazines read within the last
month in a list of magazines. You can organize multiple-response data in one of two ways
for use in the program. For each possible response, you can create a variable that can have
one of two values, such as 1 for no and 2 for yes; this is the multiple-dichotomy method.
Alternatively, you can estimate the maximum number of possible answers from a respondent
and create that number of variables, each of which can have a value representing one of the
possible answers, such as 1 for Time, 2 for Newsweek, and 3 for PC Week. If an individual
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