Need a hand? All the help you want just a few clicks away
HiHow can I interpret the result of goodness of fit for choice based conjoint hierarchical baye. This includes observations, Sum of weights, likelihood, rlh.Best regardsRobin
Thanks for your message.
For each of the (n) individual you have (k) choices within each of the (m) comparisons.
The observations are equal to n x k x m.
The sum of weights corresponds to a weighted number of observations – this depends on whether you filled the response weights in the dialog box.
The likelihood does not have a straightforward interpretation, but the root likelihood (rlh) does have one: it is bound between 0 and 1. The higher the rlh, the better the fit.
XLSTAT first steps and statistical learning resources
The place where you will master all of XLSTAT features
Any feature or option you’d like us to develop?
For those of you who prefer video help