Analysing a Literal Response variable
Literal Response variables (questions) are not as easy to analyse as variables that have tick box answers, such as Multiple Choice or Grid. However, it is possible to set up new variables from within Snap allowing answers to be categorised. This worksheet gives information on how to categorise replies to a literal response question.
Respondents were asked What did you buy? Respondents then could tick whichever items they bought. However there were other items that could have been bought which weren’t in the list, therefore respondents wrote their answers in the Other variable; If other, Please specify
Some of the Other responses occur more than once, for example, several people said they bought a "magazine". A Derived Variable can be set up to group all of these answers together. There are also people who said that they bought "chocolate, ice cream and a magazine", these can also be identified.
Step By Step
Step 1
From the Variables Window 
click 
to create a new variable.
Step 2
Ensure the response type is set to Multiple and the Type is Derived.
Step 3
Click in the Label field and type the answer for how you would like it to appear on a built table or chart, for example Chocolate.
Step 4
Tab across to the Values field and type in the question number where Snap will pick up the response from along with what you want it to search for. For example Q6a=CHOC. Beware, literals are case sensitive!
Step 5
Tab down and repeat for all of the other literals you wish to categorise.
Step 6
Click 
for Snap to count up all answers.
Step 7
Click 
or 
in order to create a new table or chart.
Step 8
From the variables window, drag your new variable into Analsyis or Break to analyse in the ususal way.