I conducted discrete choice experiment. My experiment was conducted with 3 alternatives (option 1, option 2, option 3) and 3 attributes (soc, man, inc)
I also have some individual characteristics information
When you see the result below, I cannot interpret socio-demographic variables such as "start.time.mon:2" since 2 is just the name of option which is consist of 3 alternatives (soc, man, inc). It is not like boat, charter, something like in example......
Therefore, it doesn't have meaning such as start.time.mon:2, start.time.eve:3,milage:2 ...
I want to get the coefficient that how each socio-demographic value affect to attributes. What should I do?
Hi Jinyoung,
as far, as I understand your concern, an interaction term should be the solution. In R, you do this by either multiplying the two desired variables into a new object:
interaction
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