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The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
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Post hoc power is not informative.

Lacey W Heinsberg1, Daniel E Weeks1,2

  • 1Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Genetic Epidemiology
|June 1, 2022
PubMed
Summary
This summary is machine-generated.

Post hoc power analyses, conducted after research, are misleading and uninformative. This study demonstrates why researchers and reviewers should avoid using these statistical calculations for interpreting study results.

Keywords:
achieved powerexploratory data analysisobserved powerpostexperiment powerretrospective power

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Area of Science:

  • Statistical methodology
  • Research integrity
  • Quantitative research

Background:

  • Post hoc power analyses are frequently requested by peer reviewers or conducted by researchers after study completion.
  • Concerns exist regarding the statistical validity and interpretability of post hoc power estimates.

Purpose of the Study:

  • To provide a heuristic explanation for why post hoc power calculations should not be utilized in research.
  • To demonstrate the misleading nature of post hoc power through a simulation study.

Main Methods:

  • A detailed simulation study was conducted.
  • Two nearly identical research experiments were hypothetically run in parallel at different university settings.
  • The simulation focused on illustrating the implications of post hoc power calculations.

Main Results:

  • The simulation demonstrated that post hoc power calculations yield misleading results.
  • These calculations were found to be uninformative for the interpretation of research data.
  • Variability in results from identical studies highlights the issue.

Conclusions:

  • Post hoc power calculations are not a valid or informative tool for interpreting research findings.
  • Authors and peer reviewers are strongly encouraged to refrain from using or requesting post hoc power analyses.
  • Focusing on study design and pre-study power calculations is recommended for robust research.