Richness v Rigor in Writing

In the quest to differentiate political theory from political science, Jacob Levy of McGill University published this essay.

https://profs-polisci.mcgill.ca/levy/theory-philosophy.html

The wisdom in his essay is also relevant in writing, particularly in political science papers, whether it be an essay, think piece, thought paper, but particularly as thesis, or dissertation.  It's always good to remember the basics.  This one focusses primarily on writing style, rather than content.

You have to ask, is what you're writing: a) theoretical/normative or b) is it Scientific?

If that dichotomy does not immediately apply, ask is what you're writing: a) qualitative or b) is it quantitative?

If the answer to either question is A, then your writing will have to be RICH.

If the answer to either question is A, then your writing will have to be RIGOROUS.

Doesn't mean to say, though, that Rich and Rigorous are exclusive. 

So, what are those two?

Richness is the quality of insight, of dept, of being able to discuss in full detail.  It immerses the reader.  It engages the reader.  It informs the reader of the argument then proceeds to prove it.  The discussion contains proofs that support the argument, drawing both from illustrations through samples, and through clear explanations.  It is also enriched through a clear discussion interfacing all related wisdom from the discipline.  E.g. If you are talking about political psychology, then you have the most relevant ideas from the best sources to match the samples and explanations that you point out.

The argument is insightful.    It's not the kind of information that you can say, 'duh!  Obvious!'  It's the kind that leads the reader into an aha! moment.  

Rigor is the quality of efficient or accurate effort.  Take note, it's not just effort.  It's the process where you arrive at your conclusion because the math is accurate.  You present the numbers and the facts well.  All data should be accounted for, and their meanings explained through the right standards.  You accomplish this through the accuracy of computations, by validating the results, taking into consideration all possible points that need to be considered or removed (this is called clearing the clutter).  Once done, data must be presented as clearly and orderly as possible, their interpretations are done meticulously.  And the interpretations are accurate.