BUCSS-package: Bias and Uncertainty Corrected Sample Size (BUCSS)

In BUCSS: Bias and Uncertainty Corrected Sample Size

Description

Bias- and Uncertainty-Corrected Sample Size. BUCSS implements a method of correcting for publication bias and uncertainty when planning sample sizes in a future study from an original study

Details

Note that https://designingexperiments.com uses Shiny R apps that implement, via a web interface, the functions contained in BUCSS.

Author(s)

Samantha Anderson [e-mail] and Ken Kelley [e-mail]

References

Anderson, S. & Kelley, K., Maxwell, S. E. (2017). Sample size planning for more accurate statistical power: A method correcting sample effect sizes for uncertainty and publication bias. Psychological Science, 28, 1547–1562.

See https://designingexperiments.com/ for Shiny R implementation of the functions.

For suggested updates, please email Samantha Anderson [e-mail] or Ken Kelley [e-mail].

BUCSS documentation built on Aug. 25, 2020, 5:08 p.m.