Final answer:
Mixed method design combines quantitative and qualitative data in research to offer a complete perspective and richer understanding of the study subject, using the strengths of both methodologies.
Step-by-step explanation:
Mixed method design in research refers to the use of both quantitative and qualitative data to provide a comprehensive analysis of a subject. This design allows researchers to combine the numerical emphasis of quantitative data with the detailed and nuanced insights gained from qualitative data, resulting in a more holistic understanding of research questions. It leverages the strengths of both methodologies and provides a richer, more complete perspective of the phenomena being studied. For example, sociologists might employ surveys to gather quantifiable data and conduct interviews or ethnographic work to collect qualitative insights, ultimately integrating these approaches to uncover patterns and in-depth human behaviors.
Triangulation of data and the subsequent creation of research models, such as GPS mapping and culturally sensitive site projections, are prime examples of the interplay between these two research approaches. Mixed methods aim to answer research questions more effectively by utilizing various data types and considering both statistical and contextual factors.