Like quantitative research, qualitative research aims to look for answers to questions of “how, where, when, who and why.” It does so with a perspective to build a theory or refute an existing theory. The essence of qualitative research is to make sense and recognize patterns between words to build a meaningful image without compromising its richness and dimensionality. Nature of qualitative versus quantitative research However, the detailed nature of the results makes them ideal for transferability. However, because they often consider only one topic or group, researchers who perform such studies rarely generalize results to other populations. Reports based on these research methods are detailed and specific. But transferability is more relevant to qualitative research methods such as ethnography and case studies.
The results of any type of research method can be applied to other situations. Therefore, researchers should provide a very detailed description of their situation and research methods. To do this effectively, readers should know as much as possible about the status of the original investigation to determine if it is similar to theirs.
In other words, they “transfer” the results of one study to another context. If there are sufficient similarities between the two situations, readers can infer that the results of the research would be equal or similar in their own situation.
In transferability, readers notice the details of the research situation and compare them to the details of an environment or situation they are familiar with. Instead, his job as a researcher is to provide evidence that it might be applicable. It is important to note that you, as a researcher, cannot prove that the findings of the research study are applicable. Transferability is established by providing readers with evidence that the findings of the research study could be applicable to other contexts, situations, epochs, and populations. Transferability in qualitative research is synonymous with generalizability, or external validity, in quantitative research.
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