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).
|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.
All of the teaching and learning resources are on the teaching page.
Recent blog posts
- Scientific journal with 3.4% replication rate refuses to retract deeply anomalous papers by associate editorThe Journal of Consumer Research (JCR) is widely considered to be the most prestigious journal in consumer behavior, a sub-field of […]
- Following a failure to replicate, “Super Size Me” paper turns out to be full of numerical inconsistenciesWhen Tunca, Ziano and Xu (2022) set out to replicate Dubois et al. (2012), they had no idea that their efforts […]
- Reviewing Pham’s “feeling the future” paper to illustrate how easy it is to unintentionally p-hackContext: Michel Pham has responded to Krefeld-Schwalb and Scheibehenne (2022) “Tighter Nets for Smaller Fishes” paper in a way that I […]
- What kind of p-values should we expect from true effects?There has been a lot of discussion around what is mathematically, theoretically possible in terms of p-values. If you have .01 […]
- How to quickly and easily make a customer heatmap with RThis is a good task for a marketing analytics course. It’s very easy to map out where customers are coming from. […]