The purpose of OpenMKT.org is to increase transparency and quality of marketing research published in academic journals. If you have any suggestions for this site, please let the maintainer, Aaron Charlton, know (contact link in footer).
Research Trackers
| Replications | A catalog of high-powered, preregistered direct replications of marketing articles |
| Retractions | A catalog of retractions of marketing articles. |
| Preregisted studies | Articles that have multiple preregistered studies and show good evidential value (low p-values). |
| Bias studies | These are studies that evidence of systemic bias in marketing research (publication bias, p-hacking, low power, HARKing). |
Other research resources
You can find links to articles about data fabrication/data anomalies, mass replication projects and conceptual replications on the main research page.
Teaching tools
All of the teaching and learning resources are on the teaching page.
Recent blog posts
- Everyone involved in Dan Ariely’s fake data scandal now has an alibi—except for Ariely himself
- UCLA Professor Refuses to Cover for Dan Ariely in Issue of Data Provenance
- Scientific journal with 3.4% replication rate refuses to retract deeply anomalous papers by associate editor
- Following a failure to replicate, “Super Size Me” paper turns out to be full of numerical inconsistencies
- Reviewing Pham’s “feeling the future” paper to illustrate how easy it is to unintentionally p-hack
- What kind of p-values should we expect from true effects?
- How to quickly and easily make a customer heatmap with R
- 2022 marketing metascience year in review
- Three strikes for marketing professor, Nicolas Guéguen (but he doesn’t appear to be out)
- You are right that we shouldn’t expect marketing studies to replicate (but I disagree about the reason)
- Dan Ariely claims authorship order shields him from blame; speculates that a low-level envelope stuffer committed the fraud
- Replications in Marketing: Myth and Reality
