方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
A Priori Power Analysis for Multiple Regression
分类方法记录 · 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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