State hypothesis, then formulate interview questions in relationship to hypothesis. Then perform tests required maybe chi square. Example of buying frequency is affected by religion, employment rate just perform chi square or regression test

Dear Gökay Cinar,

To test a hypothesis in a qualitative way, your set of responses should be organised in a sequential order of relativity of variables. Then, such relativity should be confirmed through your literature to justify the hypothesis.

For example, you indicate that "A" has impacts on "Z". But you find that "A" is not directly involved in setting the "Z". But, the "A" directly impacts "B" and "C" and these "B" and "C" individually influence "Z".

Hence, in your inter interview, you must confirm the relationships between "A" & "B", between "A" & "C", between "B" & "Z", and between "C" & "Z". if you structure your interview to reveal these relationships, by organising the responses in a way to prove the relationship between "A" & "Z" can be confirmed.

Say that your interview reveals that "A" has a relationship individually to variables "B" and "C"; variable "B" has a relationship to "Z"; and variable "C" has a relationship to "Z". Then, the relativity of "A" to "Z" can be confirmed in two ways.

(1) "A" to "B" then to "Z"

(2) "A" to "C" then to "Z".

The main requirement is how you conduct the interviews and organise the responses to prove your hypothesis.

Hope the above will help you. Good luck in your studies.

Regards,

S. Senthilnathan.

Atlas.TI could be used to structure your responses via themes and categories, which could be used to test your hypotheses in a structured manner as alluded to by Samithamby Senthilnathan.

Hello,

Qualitative interviews often have an inductive-explorative character. The initial aim is to reveal new aspects and/or derive new theories, etc. Therefore, I would not use a thesis for your work, but research questions. You can derive these research questions from the literature and answer them by analyzing the interviews.

Best Regards

Sebastian

Here are some thoughts regarding thematic analyses by Braun & Clark (doi: 10.1191/1478088706qp063oa):

"In contrast, a ‘theoretical’ thematic analysis would tend to be driven by the researcher’s theoretical or analytic interest in the area, and is thus more explicitly analystdriven. This form of thematic analysis tends to provide less a rich description of the data overall, and more a detailed analysis of some aspect of the data. Additionally, the choice between inductive and theoretical maps onto how and why you are coding the data. You can either code for a quite specific research question (which maps onto the more theoretical approach) or the specific research question can evolve through the coding process (which maps onto the inductive approach)."

Check out the Framework Analysis approach by Ritchie and Spencer. DOi: 10.4135/9781412986274

Alternatively, if you code your data to themes, you can compare the frequency of themes based on (categorical) independent variables (types of cars or participant demographics) in NVivo. You could bring the data into a statistical software and test for differences using Chi-Square tests. You have to be clear, however, why you would use qualitative data to reach quantifiable results, as this is foggy path.