We introduce a general method for identifying the sets of best alternatives of decision makers in each choice sets, i.e., their choice correspondences, experimentally. In contrast, most experiments force the choice of a single alternative in each choice set. The method allow decision makers to choose several alternatives, provide a small incentive for each alternative chosen, and then randomly select one for payment. We derive two conditions under which the method may recover the choice correspondence. First, when the incentive to choose several alternative becomes small. Second, we can at least partially identifies the choice correspondence, by obtaining supersets and subsets for each choice set. We illustrate the method with an experiment...