Best Practice Self Commitment

Many standards in psychological research concerning the study design, data analysis, reporting and publishing have changed in the light of the so-called replication crisis. The following overview attempts to take this development into account to foster transparency, robustness, and integrity of our own research. My research team and I took the form of a voluntary commitment. The aim is to commit ourselves publicly and then work accordingly for all upcoming projects, starting Oct-21.


Study planning

Data analysis


  • We make (co)authors contribution for all publications transparent using Contributor Roles Taxonomy (CRediT).
  • We use the Quantitative Design Reporting Standards (JARS-Quant, section 3.5, p. 78ff.) and Qualitative Design Reporting Standards (JARS-Qual, section 3.14, p. 95ff.) as outlined in the publication manual of the American Psychological Association (7th edition). For meta-analyses, we use the PRISMA guidelines.
  • We provide open syntax and data. We upload everything that is necessary to reproduce the results to OSF. For sensitive data that cannot be anonymized, we consider generating synthetic data (e.g., synthpop).
  • We save output of the analyses (e.g., html files via knitr, for an example).


version 1.0.0
date: 2021-09-20