Hi,

It seems to me that you need to clarify the idea of triangulation behind your study before entering details in statistical testing. Statistical methods are tools, not obstacles, as you seem to consider them. I also think that your research question is a rather broad one.

The research question is a little broad and not as well defined. Perhaps you might want to narrow down to more specific RQs for qualitative study?

Usually, I recomend my MBA for the project (not dissertation) to use MaxQDA or CaQDA to code the key words and to run preliminary and thematic categorization from the interview answers.

A key question is what role will the preliminary qualitative study will play in your overall project? One classic design that uses this format is an exploratory sequential study (qual --> QUAN), where the goal is often to develop and operationalize the measures that you will use in a subsequent quantitative study such as a survey.

This is particularly relevant in your case because doing a statistical analysis requires testing the relationships between variables, so you will need measures of each your core concepts.

You haven't specified whether you adopted a qualitative or mixed research strategy. For qualitative data analysis, consider reading Qualitative data analysis by Miles, M.B., Huberman, A.M. & Saldaña, J.

To study if communication impacts morale, u can establish the relationship between the two by doing correlation and follow up with regression analysis,with communication being the independent variable and morale as dependent variable. U should also be clear about how many factors u have under both the constructs.

Hi,

As others have mentioned, it is hard to provide advice without more details. Below are a few thoughts.

1) who is the intended audience of the research findings? If it is an academic or degree project then there are some key issues (showing you understand the methodology, displaying skills etc). But if the target is a company or internal processes, then you need to pick a method with an awareness of what will serve as evidence to the decision-makers.

2) You can't use interview data to carry out stats. Something like conversational analysis might be possible, but overall, No. Step away from that idea!

3) Communication is a massive thing -do you mean; oral, written, hardcopy, electronic, digital, peer-to-peer, manager-to-junior, one-to-one, group, meeting, over coffee/watercooler etc.

In an interview, we can be less specific, because the respondent can ask us what we mean -and we can evolve our focus. But not so in a questionnaire/stats!

4) There will be psychological questionnaire tools for employee morale and others for communication. The literature will show which stats have been done on these. For example,

Article The Separate Constructs of Communication Satisfaction and Jo...

5) Why do interviews? A simple design would be a pre and post questionnaire with an intervention. Or a comparison of two groups (managers and juniors).

Hope this helps,

Ingrid