Is it worth considering some form of triangulation of the quantitative and qualitative results?

Is there sufficient data to warrant using Nvivo, or can you code and analyse the data manually?

How will you identify what themes are relevant?

How will you generate new themes from nodes? How will you determine reliability?
The results

Discuss the results of the analysis in relation to your research question/hypothesis.

Do the results address the research question? If so, to what extent and in what way? If not, why not?

In case of hypothesis testing, do they confirm/reject the hypothesis? Were there any surprise results?

If the results are unclear, are there any other tests we could run, or additional data that we could use?

Can a qualitative analysis of the data enable a richer understanding of the relationships that may underlie quantitative data?

Is it worth considering some form of triangulation of the quantitative and qualitative results? If the quantitative and qualitative results vary, what reasons might you advance for this?
Conclusions/reflection

Discuss the results in relation to previous work in the field/area/topic.

Write a brief reflection on the analysis undertaken.
Critically reflect on your experience of undertaking this work? =What were the main difficulties? If you now had to repeat the exercise, in what ways (if any) would you do things differently?

Is it worth considering some form of triangulation of the quantitative and qualitative results?
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