In a short paper I am writing, I have developed a fairly complex model. To express it in a highly watered down fashion, the purpose of the paper is to study the variation of a Variable Y with an independent Variable M.
My current way of presenting the results section is as follows:
- Show the most important result upfront: plot M vs Y. However its difficult to understand the variation just from this plot, because of the complex nature of the underlying physics. Hence..
- Describe the fundamental physics in the domain as a function of time and space c(x,t,M). Plot c(x,t,M) as a function of x and t. Describe why c(x,t,M) makes sense from a fundamental physics perspective. x=space, t=time.
- Plot C1(t,M). C1(t,M)=F(c(x,t,M)), and explain why C1(t,M) makes sense
- Y(M)=F1(C1(t,M)). So Tie #1 and #3 together, and describe why it makes sense and its implications.
The reason why I chose the above logic structure is because I thought I should present the most important result (plot M vs Y) first. I also learnt about this method of presenting results in a management consulting competitions, and I thought it makes sense at that time.
However, I am starting to feel that maybe this is making it more complicated and is not the way academic journals work. I tried looking at some results, but I am not able to directly relate their work to mine.
I am thinking of an alternate structure
- Describe the fundamental physics in the domain as a function of time and space c(x,t,M). Plot c(x,t,M) as a function of x and t. Describe why c(x,t,M) makes sense from a fundamental physics perspective.
- Plot C1(t,M)=F(c(x,t,M)), and explain why C1(t,M) makes sense
- plot M vs Y. Explain why it makes sense and the implications of the trend.
Do you think that the second logic structure is better?
Hope this make sense, or I can explain more..