Correlation-Adjusted Standard Errors And Confidence Intervals For Within-Subject Designs: A Simple Multiplicative Approach.pdf
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Description
Dans les plans intra-sujets, les scores multiples d'un participant donné sont corrélés. Cette corrélation implique que la variance observée peut être divisée en variance inter-sujets et en variance inter-mesures. L'intervalle de confiance de base autour de la moyenne ne sépare pas ces deux sources et est donc de peu d'utilité dans les plans intra-sujets. Je présente ici une méthode ajustée par corrélation qui nécessite la corrélation moyenne entre toutes les paires de mesures.
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- Language: EN
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