Our team is conducting operations remotely to promote health and safety during COVID-19, and remains dedicated to providing you with uninterrupted services. We are available to address your technical questions at firstname.lastname@example.org.
Although a shift from a focus on null hypothesis significance testing to reporting effect sizes and confidence intervals has been advocated for decades, researchers have been slow to implement this shift. One of the reasons may be that working with confidence intervals is interpreted as inconvenient. Diamond plots are a visualisation technique to ameliorate this disadvantage. The current paper introduces an implementation of diamond plots in the free and open source software R. This implementation is flexible and designed to also be accessible to researchers that are not used to working with R. The current paper also includes a tutorial to enable researchers to start producing diamond plots themselves with minimal effort. Combining a shift from reporting point estimates and confidence intervals in tables to using diamond plots with full disclosure enables presenting reports in a readable manner without loss of detail.
The main output file can be accessed here on GitHub.
Get more citations
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information,
and information on cookie use.