Many researchers support that the combined use of quantitative and qualitative methods in the same study (mixed methods design) provides more robust and reliable results than a single approach design (monomethod design, i.e. only quantitative or qualitative research). What is your opinion about this? Does mixed methods design provide broader perspectives than those offered by monomethod designs?
Yes, because you can call upon a larger group of techniques and processes.
In technical terms, relability means either minimizing random error or more generally increasing the consistency of your results. So in that sense, mixed methods do not enhance reliability. For deciding whether to do mixed methods, the major issue is how you will integrate the results from the two different kinds of data. So, you need to have a clear purpose for not only each separate method but also for how you will connect them as a whole.
I share the same with David. A mixed methods research design is a procedure for collecting, analyzing, and “mixing” both quantitative and qualitative research and methods in a single study to understand a research problem. I don’t think mixed methods would improve reliability, but you can use these methods when both quantitative and qualitative data, together, provide a better understanding of your research problem than either type by itself. In other words, mixed methods are suitable when one type of research (qualitative or quantitative) is not enough to address the research problem or answer the research questions.
it depends on your research question!
some areas when you have included sociology in your research will be advantageous to have them both on board but if you are researching about the possible effect of fluoride for example you may not need them both
as i said i think it depends on the research question and what are the areas you are researching>
It is not a matter of quantity. I mean, mixing is not good in itself or provides a better understanding of a problem. Everything depends on the knowledge and application of the methods and, above all, on the theoretical approach. If you know what you are doing, if you are consistent and apply the methods with the necessary rigor, then reliability is largely guaranteed.
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