jacob-long / jacob-long/interactions
Difference between "significant' and "not significant" is not itself statistically significant
- Dominant language
- R
- Stars
- 135
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
I just learned about Johnson-Neyman plot this morning when I saw [a Stack Overflow question about the `interactions` package.](https://stackoverflow.com/questions/75911846/disparity-between-sim-slopes-johnson-neyman-and-prob-interaction-in-r)
I wonder if it would be a good idea for the documentation to refer to the classic Gelman & Stern paper [The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant](http://www.stat.columbia.edu/~gelman/research/published/signif4.pdf)
This is obviously not a technical issue with your package (which is great!), but highlighting significant and non-significant regions with sharply different colors might encourage bad statistical practice.
Contributor guide
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Research direction
Review the documentation for Johnson-Neyman plots and how significant and non-significant regions are currently presented. Check the linked Gelman and Stern paper, then update the relevant guidance to address interpretation and color-based emphasis; done when the documentation clearly explains the concern and cites the paper.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100