I used a variety of theory to construct a series of questions related to Trust and received over 10 valid responses. I used the usual statistical analytical methods to understand the underlying factors. The questionnaire also had a section asking for narrative comments about different aspects of trust. I developed a coding scheme to analyze this section. I can characterize the narratives in terms of frequency distributions. However, I need guidance on how I can statistically relate the quantitative and qualitative/narrative sections of the responses. I've been down several rabbit holes and need definitive guidance on how I can resolve my problem...
Dear Peter de Kam,
Personally, in this case I‘d code all the sections and responds you have. Thus, you will organize your data into groups: how many of interviewees has answered in that particular manner; what does it mean; is there any contradicting opinion, and etc.. After this it would be easier to look at all of your summed up results; so you could better articulate them.
Best,
Karina Mukasheva
Yes, I previously organized the data so I can compute frequency distributions for the narrative categories. The categories were overwhelmingly "clean" and distinct. However, you reminded me I still need to go back and verify there aren't any negative cases... Given that narrative responses are traceable to questionnaire responses, is there some way I can analyze the narrative frequency distributions back to the scales derived from the questionnaire?
I think that the content analysis method can do that, provided the tool is designed meticulously, and it contains all the fixed and variable elements
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