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Multiple Response Crosstabs The Multiple Response Crosstabs procedure crosstabulates defined multiple response sets,
elementary variables, or a combination. You can also obtain cell percentages based on cases or responses, modify the handling of missing values, or get paired crosstabulations. You must first define one or more multiple response sets (see “To Define Multiple Response Sets”).
For
multiple dichotomy sets, category names shown in the output come from variable labels defined for elementary variables in the group. If the variable labels are not defined, variable names are used as labels. For multiple category sets, category labels come from the value labels of the first variable in the group. If categories missing for the first variable are present for
other variables in the group, define a value label for the missing categories. The procedure displays category labels for columns on three lines, with up to eight characters per line. To avoid splitting words, you can reverse row and column items or redefine labels.
Example. Both multiple dichotomy and multiple category sets can be crosstabulated with other variables in this procedure. An airline passenger survey asks passengers for the following information: Circle all of the following airlines you have flown at least
once in the last six months (American, United, TWA). Which is more important in selecting a flight—schedule or service?
Select only one. After entering the data as dichotomies or multiple categories and combining them into a set, you can crosstabulate the airline choices with the question involving service or schedule.
Statistics. Crosstabulation with cell, row, column,
and total counts, and cell, row, column, and total percentages. The cell percentages can be based on cases or responses.
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