Sun 24 Jul 2016
Unsolicited publishing advice/reviewing rant to follow. Brace yourselves.
When writing an article based on the quantitative analysis of a phenomena, whatever it may be and however novel your analysis, you are not absolved from reading/understanding the conceptual literature (however qualitative) addressing that phenomena. Sure, you might be using a larger dataset than ever used before. Certainly, the previous literature might have been case-study based, and therefore difficult to generalize. But that doesn’t give you a pass to just ignore that existing literature.
- That literature establishes the meanings of the concepts you are measuring/testing
- That literature captures the current state of knowledge on those concepts
- Often, that literature (if qualitative, especially if ethnographic) can get at explanations for the phenomena that cannot be had through qualitative methods alone
If you ignore this literature:
- You’ll just ask questions that have already been answered. Everybody hates that, especially time-constrained reviewers who already know the answers to your questions because they actually have read/contributed to the literature you ignored.
- You’ll likely end up with results that don’t make sense, and with no means of explaining or even addressing them. Editors and reviewers hate that, too.
- Your results, even if they appear to be statistically significant, will be crap. I don’t care how sophisticated your quantitative analysis is, or how innovative your tools might be, you are shoving crap into a very innovative, sophisticated tool, which means that all you’ll get out the other end is crap. Reviewers hate crap. Editors hate crap. And your crap is probably not actionable (and really shouldn’t be), so nobody outside academia will like your crap.
Please don’t generate more crap. There is plenty around.
Finally, a note on professionalism and your career: Citing around people who have worked on the phenomena you are investigating because you are trying to capture a particular field of knowledge is awful intellectual practice that, beyond needlessly slowing the pace of innovation in the field in question, will never work…because editors will send the people you are not citing the article for review. And they will wreck you.
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