| Website | https://mbnuijten.com |
| Statcheck | http://statcheck.io |
| Pronouns | She/her |
Very excited to announce a second PhD position!
In this project, you will look at the statistical validity of psychological intervention studies.
Perfect for students interested in clinical psychology, statistics, methodology, and meta-research.
The {statcheck} #rstats 📦 is “a ‘spellchecker’ for statistics. It checks whether your p-values match their accompanying test statistic and degrees of freedom.”
statcheck searches text for null-hypothesis significance tests in APA style (e.g., t(28) = 2.2, p < .05), recalculates each p-value, and flags errors if reported and computed values don’t match.
By @MicheleNuijten
Repo: https://github.com/MicheleNuijten/statcheck
#ESMARConf2023 Video: https://youtu.be/XuFyqXw5ho0
@rstats #stats
REMINDER!! You have until the 7th of April to apply! >>>
🚨 PhD position in meta-research 🚨
What? Assess the effectiveness of interventions to improve psychological science
With whom? Me & @JelteWicherts
Where? Meta-Research Center,
Tilburg University
Why? Creative research w impact & great colleagues!
Details: https://tiu.nu/21373
🚨 PhD position in meta-research 🚨
What? Assess the effectiveness of interventions to improve psychological science
With whom? Me & @JelteWicherts
Where? Meta-Research Center,
Tilburg University
Why? Creative research w impact & great colleagues!
Details: https://tiu.nu/21373
🔢 You can find the preregistration, data, and R code here: https://osf.io/q84jn/
🤖 Interested in #statcheck? Check out the latest version on http://statcheck.io.
We compare the prevalence of statistical reporting inconsistencies between journals that implemented statcheck in their peer review process and matched control journals, before and after statcheck implementation. Hosted on the Open Science Framework
These results provide initial evidence that using #statcheck in peer review may be a successful intervention to decrease statistical reporting inconsistencies. 🤖✅
but... >>
Sharon Machlis