Metodes pierādījumu reģistrs

Robust repeated measures ANOVA

Robust repeated measures ANOVA tests whether population trimmed means differ across three or more repeated conditions or time points measured on the same subjects. By replacing ordinary means with 20% trimmed means and replacing variances with Winsorized estimates, it maintains acceptable Type I error and power when data are non-normal, skewed, or contain outliers — conditions under which classical repeated measures ANOVA routinely breaks down.

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Robust Repeated Measures Analysis of Variance

Taksonomiskās metodes reģistrs · hypothesis-test / statistics

Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. · ISBN 978-0123869838
Keselman, H. J., Wilcox, R. R., & Lix, L. M. (2003). A generally robust approach to hypothesis testing in independent and correlated groups designs. Psychophysiology, 40(4), 586–596. · DOI 10.1111/1469-8986.00060

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Same method familyFriedman testmachine-suggested · Relational suggestion, not evidence.Same method familyMixed ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyRepeated-measures ANOVAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Friedman testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust MANOVAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust one-way ANOVAmachine-suggested · Relational suggestion, not evidence.