Mixed Methods Design Decision Tool-Mixed Methods Guidance

Introduction to Mixed Methods Design Decision Tool (MMDDT)

The Mixed Methods Design Decision Tool (MMDDT) is a structured guide designed to assist researchers, particularly students, in selecting the most appropriate mixed methods design for their study. This tool is rooted in the complexity of mixed methods research, which combines qualitative and quantitative research approaches to benefit from the strengths and mitigate the limitations of each. By guiding users through a series of decision points based on their research questions, objectives, and context, MMDDT helps in clarifying the sequence of data collection, the priority of datasets, and the integration of findings. For example, a user studying the impact of educational interventions on student learning may use MMDDT to decide whether a sequential explanatory design (starting with quantitative data and following up with qualitative insights) or a concurrent triangulation design (collecting both data types simultaneously) is more suitable, based on the depth and breadth of insight they wish to gain. Powered by ChatGPT-4o。