Informative Data Visualization with Raincloud Plots in JASP

Vincent Leonard Ott, Don van den Bergh, Bruno Boutin, Johnny van Doorn, František Bartoš, Nicholas Judd, Jordy van Langen, Luke Korthals, Rogier Kievit and Laura Groot
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Don van den Bergh: University of Amsterdam
Jordy van Langen: Radboud UMC

No gv3ph, OSF Preprints from Center for Open Science

Abstract: Proper data visualization helps researchers draw correct conclusions from their data and facilitates a more complete and transparent report of the results. In factorial designs, so-called raincloud plots have recently attracted attention as a particularly informative data visualization technique; raincloud plots can simultaneously show summary statistics (i.e., a box plot), a density estimate (i.e., the cloud), and the individual data points (i.e., the raindrops). Here we first present a ‘raincloud quartet’ that underscores the added value of raincloud plots over the traditional presentation of means and confidence intervals. The added value of raincloud plots appears to be increasingly recognized by cognitive psychologists: a focused literature review shows that the prevalence of raincloud-style plots in Psychonomic Bulletin & Review has risen from 2% in 2013 to 37% in 2023. To further encourage this trend and make raincloud plotting easy and practical for a broader group of researchers and students, we have recently implemented a comprehensive suite of raincloud plots in JASP. Examples from two factorial research designs illustrate how these raincloud plots support a correct and comprehensive interpretation of the data.

Date: 2024-11-22
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:gv3ph

DOI: 10.31219/osf.io/gv3ph

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