The term "mixed methods" usually indicates a mixture of qualitative and quantitative sampling procedures, data collections, or data analyses within a single study or longitudinal program of inquiry. This session will focus on sampling procedures that use qualitative data or results to take decisions regarding the quantitative sampling or vice versa. The topic of mixed methods sampling is largely neglected in the literature (some exceptions: Collins 2010; Teddlie/Yu 2007). Thus, the session will provide a forum for discussing different strategies of mixed methods sampling, their advantages and disadvantages. Papers should discuss sampling strategies with regard to specific empirical projects and explain in more detail why mixed methods sampling strategies were used. The sampling process comprises several decisions: defining the population/field of concern and sampling units, specifying strategies to select cases before or during the research process, determining the sample size, getting access to the field and defining the role of the researcher, implementing the sampling strategy and dealing with refusals to participate, generating statistical/analytical inferences etc. Moreover, mixed methods sampling complicates the decision process because quantitative and qualitative approaches build upon different methodological considerations and quality criteria that have to be taken into account if both methods are treated equally. Papers should refer to some of these issues and discuss how mixed methods sampling helped to overcome sampling problems or created new challenges.