In a first round review, focus on a few really big issues rather than a lot of smaller issues.
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Tidy Data is friendly data, and friendly data makes data science possible. So remember, always be Tidy!
Being a jerk reviewer is embarrassing for the editor, rarely provides actionable insights, and creates more work.
Taking advantage of R and ggplot2 to visualize panel data.
Junior scholars in particular need to develop the skills for publishing in academic journals AND for engaging with the community of scholars online
Ignoring average inter-item correlation is a really bad thing!
Given the credibility gap in social science research, we had all better get into the data science canoe, or we will ride our statistical row boats right over the waterfall.
The use and misuse of the margins command in Stata to visualize interaction effects.
We need to move past the idea that we can identify a ‘correct’ model, embrace uncertainty, and be humble with our measures.
I recently had a paper rejected. That’s a little irritating, but what it really irritating is that the reviewers were right.