Mixed-method is an useful one to explore complex social phenomenon. However, contextual realities effect on its application and success. Let's share experiences and learn from each other.
There is a need to consider the resource implications of mixed methods research. Mixed methods research requires a team with a broad range of research skills and experience beyond purely quantitative and qualitative skills and experience, and also experience in mixed methods research.
Another prominent issue is collection of two different types of data and the subsequent large volume of data means that the resources required for data collection, management and analysis are also greater for a mixed methods project.
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Dear Mr. Ajit, thanks for your thoughts. what about researchers' perception on this approach? I guess beyond skills motivation is another factor to adopt a mixed-method design.
One of the biggest challenges in the practice of mixed methods research is integrating the qualitative and quantitative results. Even a well-structured team that includes experts in both qualitative and quantitative methods may still end up with separate sets of results that they cannot combine effectively. So, integration is an issue that requires careful planning right from the beginning of a project.
Fortunately, more and more students are taking explicit training in mixed methods research, so problems like I just described are obvious to someone who has taken a graduate-level course in mixed methods. Ultimately, I would like to see a future where graduate students structure their training on a spectrum that ranges from purely qualitative to purely quantitative, with mixed methods in the middle. So, one could be a largely qualitative researcher, but with an additional background in mixed methods, etc.
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