Mixed Methods in Developmental Science

Abstract

Abstract Mixed methods are increasingly recognized as advantageous and particularly informative for developmental science research. Initially and typically referring to the combination of quantitative and qualitative methods within or across studies, the approach can be considered more general than that, referring to the juxtaposition of different analytic methods to increase how informative a study or set of studies can be. This approach recognizes that different methods, within and across quantitative and qualitative types, each have different assumptions and capabilities. Multiple methods help to overcome limitations that occur with any single analytic method and bolster clarity and robustness of understanding. This chapter outlines the theoretical, design, and practical issues in use of mixed methods in developmental science. The key constructs, epistemological framework, theoretical considerations, approaches to different qualitative and quantitative methods and different arrangements in mixing methods are described. Limitations, critical and emerging issues, and exemplars of mixed methods applications are provided.