This chapter explains how researchers can design studies that include multiple methods. It starts by defining multiple-methods research as bringing together multiple perspectives at the methodological and other levels to obtain a deeper and more inclusive understanding of a phenomenon (and, in the end, to make a better-informed decision) than would be possible using one method alone. Using four real-life examples, Part I of the chapter shows the four consecutive steps of multiple-methods design: including multiple perspectives, exploring them, integrating their conclusions, and using this integrated conclusion to make a decision in practice. Part II shows that multiple-methods research is emergent and discusses the most important of these emergent elements: emerging aspects, focusing, searching for explanations, emerging data, and emerging subgroups. Part III discusses concepts that are relevant to combining qualitative and quantitative data sets: meaningful connections, purposes of mixing, theoretical drive, timing, and fully integrated research designs. The chapter concludes with recommendations for research with multiple methods.