How to Combine Data from a Multiple Response Question and Tie-Breaker Question

Sometimes when setting up surveys, you may want to create a tie-breaker question to clarify a favorite response from a multiple-response question, ONLY if the respondent selected multiple options (otherwise, the single selection is the obvious favorite). However, when it comes time to analyze the favorite items, your data is now split between two variable sets. This article describes a method for combining the data in both sets to create a complete variable for the favorite selection based on both questions. For example, you may set up questioning like below:

Q8. Which airlines did you consider flying?

• Jetstar
• Qantas
• Rex
• Virgin Blue
• Other airlines
• IF HAS NOT BOOKED ON OWN: Don’t know 6

Q9. ASK IF MORE THAN 1 AIRLINE SELECTED IN Q8: And which airline did you end up flying?

• ASK IF CONSIDERED JETSTAR: Jetstar 
• ASK IF CONSIDERED QANTAS: Qantas
• ASK IF CONSIDERED REX: Rex
• ASK IF CONSIDERED VIRGIN BLUE: Virgin Blue
• ASK IF CONSIDERED OTHER AIRLINES: Other airline

Will create data formatted as a Binary-Multi and Nominal variable set in Displayr:

To a Nominal variable set including the single selection favorites from the multiple-response question:

Requirements

• A Binary-Multi and Nominal variable set with categories that overlap.

Method

1. Hover over the Data Sources pane and click + > Custom Code > JavaScript > Nominal.

2. The code below checks if Question 9 was answered (it is skipped if there is a single selection in Q8). If Q9 was not answered and is missing (isNaN), that means there was just one selection in Q8, and that will be the final selection in the combined variable. Because Q8 is binary data with selections coded as 1, you can multiply the variables by the appropriate Value that corresponds to the Value of the category in Q9 to pull off which category was selected. Paste in the following code in Javascript Code panel and modify to your liking:

   //Combine multiple-response and single response tie-breaker
   //q8 is the Binary-Multi variable set and q9 is the tie-breaker Nominal variable set
   //replace the variable names below with those of your variable sets
   //be sure the number multiplied by the variable below (i.e. 2 for q8_B) corresponds
   //to that category's Value in the Nominal variable
   if (isNaN(q9)) q8_A + 2*q8_B + 3*q8_C + 4*q8_D + 5*q8_E; else q9;

3. Click Calculate to run the code.
4. Give it a sensible Label in the General tab of Properties .
5. Click on the Data > Values & Labels button and change the Label column to those of the corresponding categories from the original Q9 variable set. If there is a 0 value, that is because Don't Know was selected in Q8, and thus Q9 should be missing data and excluded:
   

Now you can drag the new variable to the page to see the single selections for airlines considered flying (the only preference) and the airline that was flown (the ultimate preference).

Additional Notes

Equivalently, the same thing can be achieved using else if statements:

if (isNaN(q9) && q8_A == 1) 1;
else if (isNaN(q9) && q8_B == 1) 2;
else if (isNaN(q9) && q8_C == 1) 3;
else if (isNaN(q9) && q8_D == 1) 4;
else if (isNaN(q9) && q8_E == 1) 5;

Next

How to Merge Variables Into a Single Variable