The need to report effect size estimates revisited. An overview of some recommended measures of effect size

By Maciej Tomczak, Ewa Tomczak. 2014

1,769 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8c08127f9e736e8db15bec81d69f547d672f9f58

Citations in the corpus

• Characterizing LLM scientific concept generation: A multi-dimensional measurement study (2026, unknown): “We report effect sizes as epsilon-squared ( ϵ 2 = H / ( N – 1)), interpreted using conventional benchmarks as negligible ( 0.01), small (0.01–0.06), medium (0.06–0.14), or large ( 0.14) [34].”