![]() g., an explanatory sequential MM design, an exploratory-confirmatory MM design, a developmental MM design). Qualitative research biostatistical methods epidemiology focus groups program evaluation research methodology sampling survey. When designing a mixed methods study, it is sometimes helpful to include the mixing purpose (or characteristic on one of the other dimensions shown in Table 1) in the title of the study design (e. They suggest there are four major features that help us understand the decisions and characteristics of mixed methods: purpose (or intent) for mixing, sequencing of qualitative and quantitative strands, priority (dominance) of each method, and level of interaction between each strand. Understanding these principles and practices of integration can help health services researchers leverage the strengths of mixed methods. The fit of integration describes the extent the qualitative and quantitative findings cohere. Integration at the interpretation and reporting level occurs through narrative, data transformation, and joint display. With embedding, data collection and analysis link at multiple points. When merging, the two databases are brought together for analysis. With building, one database informs the data collection approach of the other. In connecting, one database links to the other through sampling. Integration at the methods level occurs through four approaches. Integration at the study design level occurs through three basic mixed method designs-exploratory sequential, explanatory sequential, and convergent-and through four advanced frameworks-multistage, intervention, case study, and participatory. This article describes integration principles and practices at three levels in mixed methods research and provides illustrative examples. The mixed method approach, in this study, uses the sequential, explanatory approach evaluating the concept of emotional intelligence in the higher education. Mixed methods research offers powerful tools for investigating complex processes and systems in health and health care. These include: a) partially/ fully mixed design b) concurrent/ sequential design and c) equal/ dominant status of quantitative and qualitative data. ![]()
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