Hi, I am trying to create a HB-MNL model for Max Diff survey data (as attached). I am trying to compute the utility scores for each attribute per respondent.
Has anyone worked on this type of model before? If yes, could you share the link to your project?
Thanks a lot in advance for taking the time to respond to this long post. Any guidance or project links to similar projects is appreciated
Brief Information about the data:
No. of respondents: 260 (‘ResponseId’ column)
Total. no of attributes: 30 (‘Choice_label’ column)
No. of questions per respondent: 12 (‘ScenarioID’ column)
Choices per question: 5 (‘ChoiceID’ column)
The respondent has selected their “Most Interested” and “Least Interested” attribute from each question as given in the “Answer_value” column and based on that I have broken them down into 2 columns ‘Best’ column where ‘Most Interested’ value is replaced by 1 and ‘Worst’ column where ‘Least Interested’ value is replaced by -1 and all the non-selected values are replaced by 0.
Data.csv (1009.6 KB)