The Abuse of Power

By J. Hoenig, Dennis M. Heisey. 2001

1,517 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/20f820d55e25d23882ffdb9f639528b01cc01c7c

How researchers see this paper

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

In Economics and Econometrics

In Statistics and Probability

Citations in the corpus

Some Practical Guidelines for Effective Sample Size Determination (2001, background): “Again, this is a faulty way to do inference; Hoenig and Heise (2001) point out out that it is in conict with an inference based on a cone dence interval.”
Citizen science reveals trends in bat populations: The National Bat Monitoring Programme in Great Britain (2015, methodology): “This approach is used in preference to repeating power analysis for considering the biological meaning of the observed trend (Gerard et al., 1998; Hoenig and Heisey, 2001) and also reflects aspects of the design, such as the pattern of missing values, which are difficult to allow for within a power ”
On the Post Hoc Power in Testing Mean Differences (2005, background): “Hoenig and Heisey (2001) cite 19 journals across a variety of disciplines where recommendations have been published advocating the use of post hoc power to interpret the results of studies with statistically nonsignificant results.”
Male-male interference competition decreases spawning rate in the European bitterling (Rhodeus sericeus) (2004, methodology): “We calculated a post-hoc power analysis for tests where the P value was slightly larger then our alpha level for significance, as recommended by Jennions and Moller (2003) (but see Hoenig and Heisey 2001 ).”
SIMR: an R package for power analysis of generalized linear mixed models by simulation (2016, background): “Retrospective ‘observed power’ calculations, where the target eﬀect size comes from the data, give misleading results (Hoenig & Heisey 2001).”
Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP (2018, background): “set is sensitive enough to detect a true effect when using p-values [8].”
Layer-Specific Organization of Local Excitatory and Inhibitory Synaptic Connectivity in the Rat Presubiculum (2017, methodology): “To test for equivalence, we chose the confidence interval approach and refrained from calculating observed power due to its direct relationship to the observed P value (Hoenig and Heisey 2001).”
A farewell to Bonferroni: the problems of low statistical power and publication bias (2004, methodology): “Their results showed dismayingly low average statistical power (note that a meta-analytic review of statistical power is different from post hoc power analysis as criticized in Hoenig and Heisey, 2001).”
Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “…como SPSS y SAS realizan análisis de potencia retrospectivo, observado o post-hoc (o sea, después de haber realizado el estudio), una práctica que algunos defienden (Lenth, 2007, Onwuegbuzie & Leech, 2004), mientras otros la denuncian como inaceptable (Hoenig & Heisey, 2001, Levine & Ensom, 2001).”
A confidence interval approach to data analysis (2004, methodology): “A single 95% confidence interval does not contain the true treatment effect with 95% certainty, but can be interpreted as representing a range within which the true effect may plausibly lie (Hoenig and Heisey, 2001; Steidl and Thomas, 2001).”
What makes and what does not make a real option? A study of equity shares in international joint ventures (2010, background): “excluded tripartite JVs for which each party's equity investment could not be broken down, and coun tries for which Hofstede's (2001) cultural scores were not available.”