Multiple Responses/Dichotomies - Crosstabulation of Multiple Responses/Dichotomies

The Multiple Response Table option of the Basic Statistics and Tables module allows you to specify simple categorical variables (e.g., Gender), multiple response variables, as well as multiple dichotomies. All of these types of variables can then be used in multiple response tables. For example, we could crosstabulate a multiple dichotomy for Soft Drink (coded as described in Multiple Dichotomies) with a multiple response variable Favorite Fast Foods (with many categories such as Hamburgers, Pizza, etc.), by the simple categorical variable Gender. As in the frequency table, the percentages and marginal totals in that table can be computed from the total number of respondents as well as the total number of responses. For example, consider the following hypothetical respondent:

Gender

Coke

Pepsi

Sprite

Food1

Food2

FEMALE

1

1

 

FISH

PIZZA

This female respondent mentioned Coke and Pepsi as her favorite drinks, and Fish and Pizza as her favorite fast foods. In the complete crosstabulation table she will be counted in the following cells of the table:

 

Food

. . .

 

TOTAL No.
of  RESP.

Gender

Drink

HAMBURG.

FISH

PIZZA

. . .

FEMALE

 

 

MALE

 

 

COKE

PEPSI

SPRITE

COKE

PEPSI

SPRITE

 

 

 

 

 

 

X

X

 

 

 

 

X

X

 

 

 

 

 

 

 

 

 

 

2

2

 

 

 

 

This female respondent will "contribute" to (i.e., be counted in) the crosstabulation table a total of 4 times. In addition, she will be counted twice in the Female--Coke marginal frequency column if that column is requested to represent the total number of responses; if the user requests the marginal totals to be computed as the total number of respondents, then this respondent will only be counted once.