Hi there,
hello to the community.
I'd need some help with how to prepare/shape data for analysis from a binary discrete choice experiment.
What I have is a binary choice between two generic options A vs B that represent two different configurations of the same service. Both A and B are defined over 14 variables: 13 variables are dummy, 1 variable has 8 levels (i.e., 3,6,9,12,15,18,21,24 dollars). The price levels represent the price of a service, the dummies represent features of the service (0 not available, 1 available). The design I used is a blocked fractional factorial, I have 8 blocks of 8 choice sets each (so 64 in total). Each respondent is randomly assigned to one block, so I have 8 responses from each individual in my dataset. Logit is how I plan to analyse data for now, and I'd use the cluster option to take into account respondent repetitions.
QUESTION: What is not clear to me is how the data should be structured. If you can help me or point me to some example/article it would be much appreciated.
Carlo