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Exclude cases listwise within dichotomies. Excludes cases with missing values for any variable from the tabulation of the multiple dichotomy set. This applies only to multiple response sets defined as dichotomy sets.
By default, a case is considered missing for a multiple dichotomy set if none of its component variables contains the counted value. Cases with missing values for some, but not all, variables are included in the tabulations of the group if at least one variable contains the counted value.
Exclude cases listwise within categories. Excludes cases with missing values for any variable from tabulation of the multiple category set. This applies only to multiple response sets defined as category sets. By default, a case is considered missing for a multiple category set only if none of its components has valid values within the defined range.
By default, when crosstabulating
two multiple category sets, the procedure tabulates each variable in the first group with each variable in the second group and sums the counts for each cell; therefore, some responses can appear more than once in a table. You can choose the following option:
Match variables across response sets. Pairs the first variable in the first group with the first
variable in the second group, and so on. If you select this option, the procedure bases cell percentages on responses rather than respondents. Pairing is not available for multiple dichotomy sets or elementary variables.
MULT RESPONSE Command Additional Features The command syntax language also allows you to:
Obtain crosstabulation tables with up to five dimensions (with the
BY subcommand).
Change output formatting options, including suppression of value labels (with the
FORMAT subcommand).
See the
Command Syntax Reference for complete syntax information.
