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Effect size estimates: current use, calculations, and interpretation.

Catherine O Fritz1, Peter E Morris, Jennifer J Richler

  • 1Educational Research Department, Lancaster University, Lancaster LA1 4YD, United Kingdom. c.fritz@lancaster.ac.uk

Journal of Experimental Psychology. General
|August 10, 2011
PubMed
Summary
This summary is machine-generated.

Researchers found that effect sizes and confidence intervals are underreported in psychological research. This study highlights the need for better statistical reporting practices to understand the true impact of research findings.

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Area of Science:

  • Psychology
  • Statistics

Background:

  • The American Psychological Association manual mandates reporting effect sizes and confidence intervals.
  • Effect size estimates are crucial for assessing practical significance, factor contributions, and statistical power.

Purpose of the Study:

  • To survey the reporting of effect sizes and confidence intervals in the Journal of Experimental Psychology: General.
  • To identify common statistical analyses and the frequency of associated effect size reporting.

Main Methods:

  • A systematic review of articles published in the Journal of Experimental Psychology: General in 2009 and 2010.
  • Analysis of reported statistical tests and the presence/absence of effect size estimates.

Main Results:

  • Effect sizes were reported for less than half of the statistical analyses.
  • No confidence intervals for effect sizes were reported in any article.
  • Analysis of variance (ANOVA) was common, but effect sizes were missing in nearly half of these reports.
  • Partial eta-squared (η2) was the most frequent effect size for ANOVA; Cohen's d was most common for t-tests, which were often reported without effect sizes.

Conclusions:

  • There is a significant gap in the reporting of effect sizes and confidence intervals in psychological research.
  • The study underscores the need for improved adherence to APA guidelines for robust statistical reporting.
  • The authors offer a guide to facilitate the understanding, calculation, and interpretation of effect sizes and their confidence intervals.