You Think You’ve Got Trivials?

2003/05/01 by Shlomo S. Sawilowsky · 3 citations
Decision Sciences · Mathematics · Psychology · Medicine · #Meta-analysis and systematic reviews #Monte Carlo method #Econometrics #Mathematics #Statistics #Meta-analysis #Psychology #Medicine

paper · pdf · doi:10.22237/jmasm/1051748460

openalex publication_date 2003/05/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Effect sizes are important for power analysis and meta-analysis. This has led to a debate on reporting effect sizes for studies that are not statistically significant. Contrary and supportive evidence has been offered on the basis of Monte Carlo methods. In this article, clarifications are given regarding what should be simulated to determine the possible effects of piecemeal publishing trivial effect sizes.

Citations

• X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling
• Videovigilancia de altura
• The Probable Error of a Mean
• Statistical power analysis for the behavioral sciences
• THE PROBABLE ERROR OF A MEAN

Cited by

• Simulating confidence for the Ellison–Glaeser index
• Deconstructing Arguments From The Case Against Hypothesis Testing
• Monte Carlo method [wikipedia]