I agree with Tammo that the best approach is one survey with a hidden question. But if you know a tiny bit of R it is not necessary to export the date to a spss file: you can directly read the data from the limesurvey database into R (using rpc2) and analyse the data. This all takes less then 10 lines of code. An example is shown below. Her the following happens:
- Data are read by R from limesurvey
- Data are filtered (here: only males are selected)
- Analyse data (here as an example: create histogram of intelligence scores).
R is much more powerful (and if you know it: easier) then spss, especially the graphics.
library(limer)
options(lime_api = ""
www.XXXXX.nl/index.php/admin/remotecontrol
")
options(lime_username = USERID)
options(lime_password = PASSWORD)
get_session_key( )
data = get_responses(iSurveyID = 123456, sLanguageCode = 'nl')
men = dplyr::filter(data,sex=='Male')
hist(men$intelligence)