Basic Functions for Power Analysis

By Stephane Champely. 2015

332 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2e7c519e76b65d8fa38689bdd9c4ce0bc2ba14d3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Casper J. Albers
2. Daniël Lakens
3. Farid Anvari
4. C. Brydges
5. Christiany Suwartono
6. A. V. Veer
7. Stephanie M. Stehle
8. Maciej Tomczak

Citations in the corpus

• When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias (2018, methodology): “In this paper, we apply this computational procedure as programmed in the R ( R Core Team, 2017) package pwr (version 1.1 – 3, Champely, 2015) to examine how well the desired power is achieved as a function of the chosen e ff ect size index and the maximum sample size a researcher is willing to…”