Simply put, selecting a research approach depends on the problem under investigation and the drafted questions that direct the enquiry process. For more details, you might check out the attachment or the link below.
This question is intriguing. There is no single answer given that each type of research will face two at different times.
In my opinion it will depend a lot on research area you are doing, in addition to stage of your research.
In many cases, mass of quantitative data is very important, and in others, obtaining quality and deeply assertive data is more important than quantity.
However, in fact, we almost always use both at different stages of research. It is famous "opening of horizons of the mind" and then narrowing the focus of study.
I have a somewhat different opinion, because one cannot choose a new method every time one starts a new project. Instead, people tend to follow "research programs" which address a set of inter-related research questions over time. This means that it can make a great deal of difference whether one chooses to specialize in qualitative or quantitative methods (or mixed methods), because this will impose limits on the kinds of questions you can answer.
Overall, the research question should indeed determine the method that you use, but the methods that you are able to use will often limit the kinds of questions you choose to pursue.
Dr. Abhijeet Acharya , thank you for your contribution. I gathered that both Qualitative and Quantitative seam to be adding up, Quaty aunticates existing theory while Qualitative expands.
Much in line with the previous answers, some questions can be answered through qualitative analysis only, some others only through quantitative analysis while for others researchers can choose.
Too deep a specialisation in either of them is counter-productive and it often leads to an outright rejection of the other (I've seen that way too often) simply because the "other" doesn't have an answer to the same questions.
It really does not make any sense whatsoever to expect qualitative analysis to answer questions related to sampling or inferential hypothesis testing. Nor does it make any sense to expect statistics to generate theories. Should researchers receive an equal training in both, such non-questions would quickly disappear.
What I would like to add, however, is that more recently the duality qualitative - quantitative is no longer a duality, since a new kind of methodology is quickly gaining ground: it is called "qualitative comparative analysis", a fundamentally qualitative method at its core but which uses a mathematical comparative method involving numbers. As one might guess, it answers yet another type of questions that neither the traditional two methods can answer.
There exists a fundamental distinction between two types of data: Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Quantitative methods allow you to test a hypothesis by systematically collecting and analyzing data, while qualitative methods allow you to explore ideas and experiences in depth.
Though I am more into qualitative research, I find it essential that researchers must have the basic skills of both or even a combination of both. This is because issues we confront every day that requires research can not be answered by a single methodology alone.
Qualitative research - Increses the prestige / rigor of publications . ( https://lidtfoundations.pressbooks.com/chapter/rigor-impact-and-prestige/#:~:text=Being%20published%20in%20a%20rigorous,rate%20as%20a%20key%20indicator) .
In my case, this totally depends on the research area and discipline.
If the student is doing more technical stuff I suggest counting the outputs and make conclusions using quantitatively, but when more philosophical phenomena descriptions and explanations I suggest having qualitative analysis. However, why do not you ask to do a mix-method? say in computer software development research are thing human research component and technical part both. then discovering the knowledge is from both the qualitative and quantitative.