A lot depends on how you treated the results from the two methods. If you integrated them into a joint analysis with linked conclusions, then that is undoubtedly mixed methods. But if you produced two separate sets of results, that is probably best thought of as multi-methods.
You can simply say that you used both qualitative and quantitative questions in your questionnaire, and that you analysed the data using both approaches. That keeps it clear and accurate without needing to use specific labels. If you're working with open-ended responses, you might find our paper helpful — we developed a way to convert qualitative answers into ordinal data, which can make analysis more structured. Article Pressures on Egyptian Red Sea fisheries from the artisan fis...
Yes, you're absolutely right! Since your thesis includes both quantitative (like rating scales or yes/no questions) and qualitative (like open-ended questions) data, and you've analyzed both types, your study is a mixed methods study. You're using numbers and words to understand your topic better, which is what mixed methods research is all about.
It can be a convergent (parallel or concurrent) design. But for quantitative methods you need more respondents than in qualitative (to reach saturation) .
Ainur Bazarbayeva I agree that it could be a convergent design, but I just finished a study where I examined over 200 studies that claimed to use this design or its equivalent, and the number that had problems with integration was quite high. Too, often the quantitative study tested hypotheses, while the qualitative study produced themes, with no connection between them.
So, I'll repeat what I said earlier: just using two different methods is not enough to make something a mixed methods study. In particular, if each half of the study could be published separately without any reference to the other method, then that is definitely not mixed methods.
The collection of quantitative and qualitative data in survey research is not considered a mixed method, but rather the use of multiple methods of data gathering techniques. If you want to gain a deeper understanding of the phenomenon, integrating the results / findings of your analysis somewhere during your study, particularly in the discussion (interpretation) and conclusion sections, which fall under the category of mixed method study.
A semi-structured questionnaire combines fixed questions with open-ended ones, allowing for both quantitative and qualitative insights, making it ideal for mixed-method research that seeks depth and flexibility in exploring complex issues.