easystats / easystats/parameters
Better CIs (and p-values?) for std-coefs
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- R
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Description
Originally posted on https://github.com/easystats/parameters/issues/655
@bwiernik:
Strictly speaking, both the p values and CIs we currently report for standardized effects aren't strictly accurate because they don't include uncertainty in the means or SDs used to standardize. This is usually ignored by most folks. But, ideally we would include options to compute CIs accounting for those (cf. here and here).
@strengejacke
The supplemental (https://static-content.springer.com/esm/art%3A10.1007%2Fs11336-013-9380-y/MediaObjects/11336_2013_9380_MOESM2_ESM.pdf) has code how to do this, if I understand right. Must take a closer look at it.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the existing standardized-effect confidence-interval and p-value calculations in the R package, then compare them with the supplemental code linked in the issue. Done means providing a defined way to calculate intervals and p-values that account for uncertainty in the means and standard deviations used for standardization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100