Practical significance (effect sizes) versus or in combination with statistical significance (p-values) : research note
By S. Ellis, H. S. Steyn. 2003
538 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/674116e01aa3d03e39e100ebe2099258ab47dd26
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Daniel Lüdecke
- Indrajeet Patil
- Mattan S. Ben-Shachar
- Dominique Makowski
- Shen-Hsing Annabel Chen
- Frank Reinhold
- Sarah I. Hofer
- Kristina M. Reiss
Citations in the corpus
- The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis (2020, background): “Apart from that, reporting effect sizes is important to interpret research findings with regard to practical relevance (Sink & Stroh, 2006) whereas “ statistical significance does not necessarily imply that the result is important in practice ” (Ellis & Steyn, 2003, p. 51).”
- Indices of Effect Existence and Significance in the Bayesian Framework (2019, background): “It is interesting to note that this perspective unites significance testing with the focus on effect size (involving a discrete separation between at least two categories: negligible and non-negligible), which finds an echo in recent statistical recommendations (Ellis and Steyn, 2003; Sullivan and F”