Effect size, confidence interval and statistical significance: a practical guide for biologists

University of Sheffield · University of Bristol

PubMed
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Abstract

Null hypothesis significance testing (NHST) is the dominant statistical approach in biology, although it has many, frequently unappreciated, problems. Most importantly, NHST does not provide us with two crucial pieces of information: (1) the magnitude of an effect of interest, and (2) the precision of the estimate of the magnitude of that effect. All biologists should be ultimately interested in biological importance, which may be assessed using the magnitude of an effect, but not its statistical significance. Therefore, we advocate presentation of measures of the magnitude of effects (i.e. effect size statistics) and their confidence intervals (CIs) in all biological journals. Combined use of an effect size…

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Authors

2

Topics & keywords

Keywords
  • Statistics
  • Confidence interval
  • Context (archaeology)
  • Null hypothesis
  • Statistical hypothesis testing
  • Sample size determination
  • Econometrics
  • Mathematics
UN Sustainable Development Goals
  • Quality Education
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