The Efficacy of two Improvement-Over-Chance Effect Sizes for Two-Group Univariate Comparisons under Variance Heterogeneity and Nonnormality

By Brian Hess, Stephen Olejnik, Carl J. Huberty. 2001

46 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/06668cf83d871a1b7a2e8f165d829c1e4333ed7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. T. Vacha-haase
2. B. Thompson
3. J. Graham
4. Sherman A. Lee
5. Russell T Warne
6. Frank Pajares
7. R. Henson
8. Ji Hoon Song

In Statistics and Probability

1. T. Vacha-haase
2. B. Thompson
3. R. Henson
4. Shuyan Sun
5. J. Graham
6. Anthony J. Onwuegbuzie
7. Xitao Fan
8. Craig K. Enders

Citations in the corpus

• How to Estimate and Interpret Various Effect Sizes (2004, background): “Hess et al., 2001). Tracey (2000) suggested that presenting effect size is “easier for most people to grasp” and the “presentation of effect sizes and confidence intervals would make for easy translation into metaanalytic studies” (p.”