New Preprint: Does it Actually Feel Right?

In a recent post, I mentioned a replication study we performed. We have now finalised the manuscript and uploaded it as a pre-print to PsyArXiv

Target of our replication was an article by Wadhwa & Zhang (2015) in the Journal of Consumer Research. They reported five studies on the “Rounded Price Effect”, which says that the roundedness of a price affects the purchase likelihood of the product depending on whether the context is dominated by cognitions or emotions. In our pre-registered direct replication, we tried to replicate the effect and the mediation proposed in study 5. The authors postulated that the “Rounded Price Effect” is mediated through a “sense of feeling right” when evaluating the product.

The abstract of our pre-print, which you can find here at PsyArXiv:

How does the roundedness of prices affect product evaluations? The ”Rounded Price Effect” (Wadhwa & Zhang, 2015) postulates that depending on the context, rounded or nonrounded prices increase the purchase likelihood of consumers. The study presented here is a replication attempt of these findings and the proposed mediation of the effect through a sense of ”feeling right” when evaluating the product. p-curve analysis and the R-Index are used to assess the robustness of the originally reported statistics since original data was not available. A pre-registered replication of study 5 from the original article was conducted in a sample of N = 588 participants. For both the original product and one alternative product neither an interaction between price roundedness and context, nor a mediation through ”a sense of feeling right” was found. Using different approaches, including a Bayesian perspective, we conclude that the ”Rounded Price Effect” might not be a replicable finding.

All data, material and R scripts are openly available at the OSF.

We were not able to either replicate the Rounded Price Effect nor the mediation. We show this through comparing the results of frequentist tests, effect sizes (see image above) and Replication Bayes Factors.

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