Marc Nixon The study objectives and hypotheses can serve as the foundation for the examination of both quantitative and qualitative data in a mixed methods research design. As a result, distinct inductive and deductive themes are not required for data analysis.

It's worth noting that in a mixed methods study, you may utilize both quantitative and qualitative data to answer your research questions and evaluate your hypotheses. The quantitative data can give a generalizable picture of the phenomena of interest, but the qualitative data can provide rich, detailed information on the phenomenon's context and significance.

The key is to be clear about how you will utilize each method's data to meet your research objectives and test your hypotheses. It is critical to be open about your research methodologies and to examine the ramifications of employing both quantitative and qualitative data to answer your research objectives and evaluate your hypotheses.

It's also crucial to remember that while conducting mixed methods research, you must be clear about what you want to achieve in each step of the study and employ the right data and analytic methods to meet your research objectives and evaluate your hypotheses.

In conclusion, you are accurate in stating that inductive or deductive themes are not required for data analysis. Instead, in your mixed methods study, you may utilize your research objectives and hypotheses as the framework for analyzing both quantitative and qualitative data.

It sounds like you are using a survey as your quantitative method, but I am not clear on what your qualitative method is and how it fits into your overall research design.