I want to examine emotion regulation strategies in a specific situations and mainly I want to examine what emotion regulation strategies are being used by people in these situations.
I was thinking originally that in-depth interviews will be the best option. I was suggested that I should use some widely used questionnaires as well. From all, I have found it seems most logical to use ERQ by Gross.
I am just not sure if it makes sense to mix in-depth interviews and ERQ in one study. From my understanding in-depth in qualitative and ERQ is a quantitative approach.
It is not uncommon to use triangulation in social research. Triangulation means use of two or more data collection methods. What is the aim or purpose of your research? You need to be more specific about what you mean by in depth interviews. Do you mean unstructured, semi structured or structured interviews? How many questions do you intend asking or how much information do you expect to acquire? It sounds like you need to discuss your research needs with either a supervisor or a senior colleague as you have raised many questions from these comments and which it is not likely that your readers could answer satisfactorily.
This depends on the purpose of the research and what you are trying to understand, test, or discover. You can certainly use questionnaires and interviews in a single study by performing mixed methods research. Sometimes the results of a survey give you the opportunity to dive deeper and find out specifics regarding a phenomenon or to understand why something found in the survey is occurring, for example. On the other hand, sometimes in-depth interviews help researchers understand experiences of a population and aid in development of surveys or in decision-making regarding survey deployment. As you can see, there is absolutely a potential for combining qual and quant methods. The question is whether it is necessary, and you will know this based on what you are trying to explore, examine, or understand.
Combining qualitative and quantitative methods is frequently known as mixed methods research. One key issue in mixed methods research is how to integrate the results from the two data sets. In other words, simply having more data is often problematic unless you have a clear strategy for combining them.
Also, there is often an incompatibility between the sample sizes for qualitative and quantitative data. On the one hand, it can be very time consuming to analyze more than 10-15 qualitative interviews. On the other hand, it is almost impossible to get statistically significant results with such small Ns because your analyses will lack "power."
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