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March 20, 2019The American Statistician147 citationsOpen Access

Before p  p  p -Values and Significance Testing

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LKLee Kennedy‐Shaffer

Key Points

  • The study aims to explore the historical development of p-values and significance testing, emphasizing their implications for modern statistical practice.
  • Analyzed historical texts and publications on significance testing and p-values.
  • Reviewed contributions from early statisticians like Ronald A. Fisher.
  • Discussed implications for teaching statistical methods to encourage critical thinking.
  • Identified the evolution of significance testing as a crucial development in the early 20th century.
  • Illustrated how the adoption of p<0.05 became a standard in scientific inference.
  • Proposed that understanding historical context enhances the application of statistical methods today.

Abstract

As statisticians and scientists consider a world beyond p p-values are often presented as prescriptive procedures, they came about through a process of refinement and extension to other disciplines. Ronald A. Fisher and his contemporaries formalized these methods in the early twentieth century and Fisher's 1925 Statistical Methods for Research Workers brought the techniques to experimentalists in a variety of disciplines. Understanding how these methods arose, spread, and were argued over since then illuminates how p p-value, will be perceived and used by scientists. And it can engage students more fully and encourage critical thinking rather than rote applications of formulae. Incorporating history enables students, practitioners, and statisticians to treat the discipline as an ongoing endeavor, crafted by fallible humans, and provides a deeper understanding of the subject and its consequences for science and society.

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Cite This Study

Lee Kennedy‐Shaffer (2019) studied this question.

synapsesocial.com/papers/69d68605bcbb69330b88b579https://doi.org/10.1080/00031305.2018.1537891
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