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Statistical power calculations.

Authors: R V, Lenth;

Statistical power calculations.

Abstract

This article focuses on how to do meaningful power calculations and sample-size determination for common study designs. There are 3 important guiding principles. First, certain types of retrospective power calculations should be avoided, because they add no new information to an analysis. Second, effect size should be specified on the actual scale of measurement, not on a standardized scale. Third, rarely can a definitive study be done without first doing a pilot study. Some simple examples as well as a complex example are given. Power calculations are illustrated using Java applets developed by the author.

Related Organizations
Keywords

Data Interpretation, Statistical, Sample Size, Statistics as Topic, Pilot Projects, Software

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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