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Related Experiment Videos

*, **, and ***; statistical nonsense at the .00000 level.

M J Slakter1, Y W Wu, N S Suzuki-Slakter

  • 1Department of Counseling and Educational Psychology, State University of New York, Buffalo.

Nursing Research
|July 1, 1991
PubMed
Summary
This summary is machine-generated.

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Statistical significance is often confused with clinical significance, leading to wasted resources. Researchers should abandon outdated p-value reporting and instead use alpha for power calculations to improve study efficiency and relevance.

Area of Science:

  • Medical Research
  • Biostatistics

Background:

  • Traditional statistical methods often rely on p-values to indicate significance.
  • This approach can lead to misinterpretations where statistical significance is equated with clinical relevance.

Purpose of the Study:

  • To advocate for a shift away from traditional p-value reporting in research.
  • To promote the use of alpha in power calculations for more efficient and meaningful studies.

Main Methods:

  • Critique of the conventional use of p-values (*, **, ***) in reporting statistical significance.
  • Proposal to adopt alpha for power calculations as a superior alternative.

Main Results:

  • Current practices of reporting statistical significance are inefficient and potentially misleading.

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  • Studies may be overly precise or imprecise due to a flawed reliance on p-values.

    • Conclusions:

    • Researchers should discontinue the use of outdated p-value reporting.
    • Implementing alpha in power calculations will optimize the use of time, money, and energy in research endeavors.