Discussed here are several aspects of a simple model for dealing with nonresponse. The model is, in a sense, a sequential one and is developed from a Bayesian decision theory point of view. Within this framework we examine how formalization and combination of one's opinions, past experience, and “objective” evidence concerning the proportion of non-respondents, the differences and relations between respondents and nonrespondents, the cost of obtaining information from nonrespondents, etc., might influence optimal decisions concerning the sampling of nonrespondents. The influence of nonresponse on the overall optimal sample design is also discussed, as well as several generalizations of the basic model, to handle a hard core of nonresponse.