Metodbevispost

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.

Sources recorded, not reviewed

Källpost

Citat kopierade ordagrant från metodens källpost. Ingen verifiering på källnivå härleds från dem.

A Priori Power Analysis for Multiple Regression

Taxonomisk metodpost · 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

Öppna fullständig metod

Kuraterade påståenden

Påståenden lagrade i bevisloggen, var och en med sin egen bedömning.

Inga kuraterade påståenden ännu

Denna vy hittar inte på en påståendebedömning när loggen saknar en.

Relaterade metoder

Genererade från metodgrafen och visade som maskinföreslagna relationer – inga bevispåståenden härleds.

Same method familyCorrelation Power Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainMultiple Linear Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for t-testmachine-suggested · Relational suggestion, not evidence.