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Understanding the effect size and its measures.

Cristiano Ialongo1

  • 1Laboratory Medicine Department, "Tor Vergata" University Hospital, Rome, Italy; Department of Human Physiology and Pharmacology, University of Rome Sapienza, Rome, Italy.

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Summary

This study highlights the importance of effect size estimation for demonstrating research meaningfulness beyond statistical significance. It provides a guide to estimating effect size for various statistical tests in evidence-based medicine.

Keywords:
biostatisticsstatistical data analysisstatistical data interpretation

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Area of Science:

  • Biostatistics
  • Medical Research Methodology

Background:

  • Evidence-based medicine relies on scientific reliability, which is sometimes overlooked in modern research.
  • Statistical significance alone may not fully convey the importance of research findings.

Purpose of the Study:

  • To present and discuss methods for estimating effect size in research.
  • To guide researchers in using effect size estimation for hypothesis testing.

Main Methods:

  • Review of statistical procedures for effect size estimation.
  • Discussion of methods relevant to specific statistical tests used in hypothesis testing.

Main Results:

  • Effect size estimation is a crucial tool for assessing the relevance of research evidence.
  • The paper outlines practical approaches for calculating effect size.

Conclusions:

  • Effect size estimation enhances the scientific rigor of research.
  • This work serves as an introductory guide for researchers incorporating effect size into their studies.