Dear distinguish professors and scholars,
I have a research in measuring two kinds: think tank capacity and research impact on policy. Can I do two kinds of mixed methods in order to find, "Is there any influence of think tank capacity to research impact on policy?"
Here what I mean by 'two kinds of mixed method':
To measure capacity of a think tank, I will use triangulation convergence mixed method. In QUAN, I will perform survey as data collection. In the same time, I will perform document review as QUAL. After doing analysis of data from each collection, then I am going to compare and contrast to get interpretations from both QUAN + QUAL.
Next, I will use explanatory follow-up mixed method to assess impact of research on policy. Here sequentially, I am going to use documents analysis as QUAN part following by interview as qual. Whether research has an impact on policy determined from the interpretation of result QUAN → qual.
Thank you in advance for your suggestions and input for me.
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Please find the diagram or picture of both mixed methods to clarify what I mean above.
The diagram you have presented is for a concurrent design (also known as a parallel convergent design), QUAL + QUAN, rather than a sequential explanatory design, QUAN --> qual.
The main problem with the design you show typically occurs in the "compare and contrast" stage, because the literature offers little guidance about how to do that. Too often, the result is a low level of integration between the results of the two methods. One set of helpful developments in that area is the use of "joint displays." Thinking ahead in those terms might help you increase your degree of integration.
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