Hi all, I'm new here, hopefully posting this in the right section.
I'm currently writing a paper incorporating results from survey research. I have tested various hypotheses, but I am unsure what level of detail I should employ in my writing. If I would include every hypothesis I've tested, my paper would easily have 40 hypotheses or more. However, if I would simplify the hypotheses (group them) I fear they are not provable or falsifiable anymore...
For example, I've tested the likeliness of people using one software system also using another. Thus, H0 reads "People using a certain software system are more likely to use another one as well than people who don't use any." Because I have several systems, however, I have to conduct several tests on my dataset which yields multiple results; if, then, only some of those results are significant, should I 'partially accept' the hypothesis or reject it altogether...? The alternative would be, of course, to include a specific hypothesis for every single system, but this would enormously expand the number of hypotheses and make my paper unreadable.
How should I cope with this? Thanks for the insight.![]()