I’m banning the phrase theoretical contribution from my reviews and decision letters, and trying to evaluate a paper on the basis of its usefulness to an identifiable audience of scholars
Data wrangling is an essential skill for all applied researchers. Along with taking messy data and making it useful, being an effective wrangler provides critical insights to your data and how to model it effectively. It’s a skill worth investing in!
Being a jerk reviewer is embarrassing for the editor, rarely provides actionable insights, and creates more work.