Z-Curve

Definition: Computing a Z-score is a statistical approach mainly used to obtain the ‘Estimated Replication Rate’ (ERR) and ‘Expected Discovery Rate’ (EDR) for a set of reported studies. Calculating a z-curve for a set of statistically significant studies involves converting reported p-values to z-scores, fitting a finite mixture model to the distribution of z-scores, and estimating mean power based on the mixture model. The Z-curve analysis can be performed in R through a dedicated package - https://cran.r-project.org/web/packages/zcurve/index.html.

Related terms: Altmetrics, File drawer ratio, P-curve, P-hacking, Replication, Statistical power

References: Bartoš and Schimmack (2020), & Brunner and Schimmack (2020)

Drafted and Reviewed by: Bradley J. Baker, Kamil Izydorczak, Sam Parsons, Charlotte R. Pennington, Mirela Zaneva

We are currently working to link the references directly. For now, the complete reference list can be viewed here.