| CARVIEW |
Select Language
HTTP/2 200
server: nginx/1.29.4
date: Sun, 18 Jan 2026 21:11:29 GMT
content-type: text/html
vary: Accept-Encoding
last-modified: Wed, 28 Aug 2024 08:06:01 GMT
x-proxy-cache: HIT
content-encoding: gzip
P-Curve
p-curve.com
p-curve is a statistical tool that can be used to assess the evidential value of a set of findings. Evidential value
is present when selective reporting can be ruled out as the sole explanation for a set of statistically significant findings.
p-curve can be applied to sets of studies that share any feature of interest, such as research question, authors,
analytical approach, journal where they are published, etc.
- The p-curve app (v4.10)
- User Guide
- Supplementary Materials (code + appendices)
| Paper 1. Evidential Value | JEP:G 2014 "P-curve: a key to the file-drawer." |
| Paper 2. Effect Size | Perspectives (2014) "Correcting for Publication Bias Using Only Significant Results." |
| Paper 3. Better p-curves | JEP:G 2015 "Making P-curve analysis more robust to errors, fraud, and ambitious P-hacking,." |