statcheck is a "spellchecker" for statistics. It checks whether your p-values match their accompanying test statistic and degrees of freedom. statcheck searches for null-hypothesis significance test (NHST) in APA style (e.g., t(28) = 2.2, p < .05). It recalculates the p-value using the reported test statistic and degrees of freedom. If the reported and computed p-values don't match, statcheck will flag the result as an error.
The statcheck web app is a simple interface that calls on the statcheck R package in the background. To use the web app, all you need is a working internet connection. You don't need R, or even know how to work with R.
Simply go to the website at https://statcheck.io and upload a paper in .pdf, .html, or .docx format. Statcheck will search your document for statistics and returns a table with all detected statistics and whether they are internally consistent or not.
- The manual: A detailed instruction manual with information on what statcheck can and cannot do, information on how to install and use the statcheck R package, and more.
- The GitHub page: Here you can find statcheck's latest developments.
- The R package: The R package has additional functionality which allows you to change more settings and to scan entire folders of papers.
- The paper: The seminal paper in which statcheck was introduced. We ran statcheck on over 30,000 psychology papers and report general inconsistency-prevalences over time and per journal.
- The validity study: We compared statcheck's performance with manual checks and assessed its accuracy in classifying results as consistent/inconsistent
Feedback about the statcheck web app is always welcome! Please send your questions and suggestions by creating an Issue here on Github; it's really easy to do!
You can also send me an email.
The statcheck web app is distributed under the MIT license. See the file copyright.txt in this repository for more information.