The Other Half of the Story: Effect Size Analysis in Quantitative Research

By Jessica Middlemis Maher, Jonathan C. Markey, Diane Ebert-May. CBE - Life Sciences Education, 2013

588 citations recorded by the source corpus.

Effect size measures are a key complement to statistical significance testing when reporting quantitative research findings. The authors provide a rationale for use of effect size and specific tools and guidelines for interpretation of results.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c3345c3ed25a6c9ab897a7bc87b105770e19da46

Citations in the corpus

• Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework (2026, unknown): “For each feature, we quantified the proportion of variance explained by the class labels (η 2 ) 76 , which provides a measure of how strongly a feature differentiates between classes (i.e. epileptogenic vs. non-epileptogenic).”