Cliff's Delta Calculator: A non-parametric effect size program for two groups of observations
By Guillermo Macbeth, E. Razumiejczyk, Rubén Daniel Ledesma. 2010
421 citations recorded by the source corpus.
The Cliff´s Delta statistic is an effect size measure that quantifies the amount of difference between two non-parametric variables beyond p-values interpretation. This measure can be understood as a useful complementary analysis for the corresponding hypothesis testing. During the last two decades the use of effect size measures has been strongly encouraged by methodologists and leading institutions of behavioral sciences. The aim of this contribution is to introduce the Cliff´s Delta Calculator software that performs such analysis and offers some interpretation tips. Differences and similarities with the parametric case are analysed and illustrated. The implementation of this free program is fully described and compared with other calculators. Alternative algorithmic approaches are mathematically analysed and a basic linear algebra proof of its equivalence is formally presented. Two worked examples in cognitive psychology are commented. A visual interpretation of Cliff´s Delta is suggested. Availability, installation and applications of the program are presented and discussed.
Subfields: Experimental and Cognitive Psychology, Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7d5d11efe365b26f4a67d5fde3cf7577f38cd4a4
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In Experimental and Cognitive Psychology
In Food Science
In Statistics and Probability
Citations in the corpus
- Multilingual training for Software Engineering (2021, methodology): “We find rather low effect sizes using Cliff’s Delta [48].”
- Retrieval-based Neural Source Code Summarization (2020, methodology): “Based on the 100 final scores for each approach of Rencos , Hybrid-DRL and VSM, we conduct Wilcoxon signed-rank tests [58] and compute Cliff’s delta effect sizes [41].”