Yes, you can fit a hierarchical Bayesian model in BCHOICE to obtain individual part worth utilities, by adding the RANDOM statement. You can find the newest documentation for PROC BCHOICE http://support.sas.com/documentation/onlinedoc/stat/142/bchoice.pdf on SAS/STAT 14.2, where we have added MaxDiff and allocation types of choice model into the BCHOICE procedure.    There are examples provided in the documentation, in both the ‘Getting Started’ and ‘Examples’ sections. If you want, I can send you the SAS code for all the examples.   In Example 27.4, there is outpost=Postsamp specified in the proc level statement right after data=Trashcan, which requests to output a new SAS data set containing the posterior draws for all the random-effects including the subject-level random effects (individual part worths). ... View more