
The objective of a post hoc review of statistical power is to determine the average power of tests used in a particular field. Because most theories in psychology are not sufficiently advanced to provide an exact prediction of effect size, post hoc reviews invariably calculate the power of a test in terms of the test's ability to detect the expected effect size as estimated from the data. However, to achieve their stated objective, such reviews should instead compute the expected power of a test over the range of likely effect sizes. That is, current practice commits the statistical error of confusing a function of an expectation with the expectation of a function. In consequence, post hoc power reviews overestimate the average power of statistical tests, often by a substantial margin
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
