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Power Analysis for Regression

Power analysis for multiple regression is a pre-study procedure, formalised by Jacob Cohen (1988), that calculates the minimum sample size needed to detect a regression effect of a given size with adequate statistical power. It uses the anticipated R² (or the equivalent Cohen's f² effect size) and the number of predictors to determine how many observations must be collected before data collection begins.

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A Priori Power Analysis for Multiple Regression

Registro del método taxonómico · hypothesis-test / statistics

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0805802832
Green, S. B. (1991). How Many Subjects Does It Take To Do A Regression Analysis? Multivariate Behavioral Research, 26(3), 499–510. · DOI 10.1207/s15327906mbr2603_7

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Métodos relacionados

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