Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists

• Published in: Biological reviews of the Cambridge Philosophical Society Vol. 85; no. 4; pp. 935 - 956
• Main Authors: Nakagawa, Shinichi, Schielzeth, Holger
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.11.2010
• Subjects: Accuracy; Analysis of Variance; analysis of variance (ANOVA); Biologi; Biologists; Biology; Confidence Intervals; Correlation coefficient; credibility intervals; Errors; generalised linear mixed-effects model (GLMM); Genotype & phenotype; heritability; intra-class correlation coefficient (ICC); Least-Squares Analysis; Linear Models; Markov chain Monte Carlo (MCMC); NATURAL SCIENCES; NATURVETENSKAP; Normal Distribution; Phenotype; Phenotypic variations; Regression Analysis; Reproducibility of Results; restricted maximum likelihood (REML); statistical significance; Statistics as Topic; Variance analysis

Repeatability (more precisely the common measure of repeatability, the intra‐class correlation coefficient, ICC) is an important index for quantifying the accuracy of measurements and the constancy of phenotypes. It is the proportion of phenotypic variation that can be attributed to between‐subject...