Multiple Responses/Dichotomies - Paired Crosstabulation of Multiple Response Variables
A unique option for tabulating multiple response variables is to treat the variables in two or more multiple response variables as matched pairs.
Case no. | Rooms | 1 | 2 | 3 | No. Occ. | 1 | 2 | 3 |
---|---|---|---|---|---|---|---|---|
112 | 3 | 3 | 4 | 2 | 3 | 5 |
This respondent owned three homes; the first had 3 rooms, the second also had 3 rooms, and the third had 4 rooms. The family apparently also grew; there were 2 occupants in the first home, 3 in the second, and 5 in the third.
Now suppose we wanted to crosstabulate the number of rooms by the number of occupants for all respondents. One way to do so is to prepare three different two-way tables; one for each home. We can also treat the two factors in this study (Rooms, No. Occ.) as multiple response variables. However, it would obviously not make any sense to count the example respondent 112 shown above in cell 3 Rooms - 5 Occupants of the crosstabulation table (which we would, if we simply treated the two factors as ordinary multiple response variables). In other words, we want to ignore the combination of occupants in the third home with the number of rooms in the first home. Rather, we would like to count these variables in pairs; we would like to consider the number of rooms in the first home together with the number of occupants in the first home, the number of rooms in the second home with the number of occupants in the second home, and so on. This is exactly what is accomplished if we asked for a paired crosstabulation of these multiple response variables.