This article presents a discussion of mixed methods (MM) sampling techniques. MM sampling
involves combining well-established qualitative and quantitative techniques in creative
ways to answer research questions posed by MM research designs. Several issues germane to
MM sampling are presented including the differences between probability and purposive
sampling and the probability-mixed-purposive sampling continuum. Four MM sampling prototypes
are introduced: basic MM sampling strategies, sequential MM sampling, concurrent
MM sampling, and multilevel MM sampling. Examples of each of these techniques are given
as illustrations of how researchers actually generate MM samples. Finally, eight guidelines
for MM sampling are presented.