Záznam dôkazov metódy

Correlation Power Analysis

Correlation power analysis is a pre-study calculation that determines how many participants are needed — or how much statistical power an existing sample provides — for a Pearson correlation test. Formalised by Jacob Cohen in his landmark 1988 text, it uses the expected correlation coefficient r directly as the effect size, so researchers can plan studies that are neither underpowered nor wastefully large.

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Statistical Power Analysis for Pearson Correlation

Taxonomický záznam metódy · hypothesis-test / statistics

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0805802832

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Same method familyPearson Correlationmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for ANOVAmachine-suggested · Relational suggestion, not evidence.Same method familyPower Analysis for Regressionmachine-suggested · Relational suggestion, not evidence.Same method familySpearman Correlationmachine-suggested · Relational suggestion, not evidence.