I will do a research with a mixed method approach, a combination of quantitative and qualitative method. I am wondering which should we do first, qualitative method or quantitative?
Depending on what are you researching and what's your research goal. That is entirely your decision.
Perhaps, you want to do quantitative research but you seem to be "in the dark" with your subject of research and its meaning. You will carry out qualitative research first so you would know then how to construct your quantitative research.
On the other hand, you could first do the quantitative research and then see that your results are a bit confusing, so you will then do qualitative to get a better insight.
It really depends. Hope this helps. I would recommend some academic literature on mixed-method before you fully go into your research!
If you begin with Qualitative then you can use some of your responses to guide the development of your quantitative survey questions. Qualitative can sometimes bring to surface topics that we did not originally think of including in our quant portion.
There are important differences between the goals associated with sequential designs that begin with either qualitative or quantitative methods. On the one hand, sequential exploratory designs (qual --> QUAN) use initial qualitative results to help develop the content for subsequent quantitative research. On the other hand, sequential explanatory designs (QUAN --> qual) use follow-up qualitative methods to help understand the results from a quantitative study.
In addition, although parallel designs are indeed possible, they also present the greatest difficulties in terms of integrating the two separate sets of results.
I suggest that you read a good introductory text book on mixed methods research, such as the one by Creswell and Plano-Clark.
Depending on what you wish to accomplish, I would suggest you start with quantitative which would help you in determining which areas you need to inquire more through qualitative approach
Honestly, I think it is up to you and you want to structure your research. Do you want to first discover and then test? Or do you want to find a trend and then go deeper into it? I do not think there is a golden rule, there is your idea and good arguments that sustain the idea.
David Morgan has clearly summarized the contrasts that a researcher faces in choosing one approach or another. In addition to reading a little more, as Morgan suggests, it would be helpful to be clear in your mind about the main research questions you seek to answer, the assumptions you are making, and what you currently know about the phenomenon you are examining. Once you are clear in your mind about what you know about X, and what you want to learn, plus you know what kinds of questions each method is equipped to answer, you will be better able to judge which method to use initially.
Schoonenboom J, Johnson RB. How to Construct a Mixed Methods Research Design. Kolner Z Soz Sozpsychol. 2017;69(Suppl 2):107-131. doi:10.1007/s11577-017-0454-1
I have found Jose' Francisco Molina-Arorin's mixed methods design typology, which addresses this topic, most helpful.
For details, see the following articles:
Molina-Azorin, J. F. 2012. Mixed methods research in strategic management: Implications and applications. Organizational Research Methods, 15(1): 33-56.
Molina-Azorin, J. F., Lopez-Gamero, M. D., Pereira-Moliner, J., & Pertusa-Ortega, E. M. 2012. Mixed methods studies in entrepreneurship research: Applications and contributions. Entrepreneurship & Regional Development, 24(5-6): 425-456.
the standards approach is: "Qual-Quant-Qual"......start with qualitative...based on this develop your quantitative.......follow up any interesting quantitative results with targeted qualitative.
In my view, the approach will depend first, on the research design chosen and the population to be covered. It will also depend on the sample size. ideally, quantitative method would be of much use if you are investigated a large population with some homogeneous characteristics, meaning you may need to cover a wider BREADTH. But in case of small copulation the a qualitative method would be ideal as it will concentrate on DEPTH. You may not need quantitative approach to boost a qualitative approach but you need qualitative responses to boost and strengthen the quantitative results.
It depends with the designs/variants selected, for exploratory design, you start with qualitative. For explanatory design, you start with quantitative. Therefore, you may start with any,,,,
Your approach depends on 1) The researcher (s) (simple choice), 2) The research topic and questions, 3) what the research aims to achieve.
Since I have no answers to these 3 questions, I can't in all academic honesty advice you to start with one over the other. Both approaches are great depending on question 2 and 3 especially.
Well, if you have some new theory then first qualitative, maybe narrative analysis and then construct a questionnaire and test it. If you already have theory and validated questionnaire, then quantitative first and if you want to explain your results in more detail, then qualitative research.
This can work either way depending on the purpose of each of the data collection methods:
1) Pilot qual, main research quants - in this option you build a statistical model from the available literature and then refine it in pilot interviews/focus groups etc to make sure you haven't missed anything. Qual methods are used to refine a questionnaire with is then tested in the main quants part
2) Pilot quants, exploration via quals - in this option you are testing general trends first to define what you should explore in qualitative stage. This work if you are looking for any unusual answers, or change in trends and want to ecplore why they happen
My view is that the initial choice of methodology should be driven by the research question and aims. For instance, if there is a need first to explore "why" and "how" questions, then a qualitative approach might be necessary. On the other hand, if you already have a theoretical framework that is properly informed by the literature, a quantitative approach might help provisionally strengthen and develop that framework.