Hypothesis test

Power Analysis for Proportion Tests

Power analysis for proportion tests is a prospective sample-size planning method used to determine how many participants are needed to detect a meaningful difference between two (or one) proportions with a specified probability. Formalised by Jacob Cohen in his 1988 landmark text, it applies the arcsine transformation to convert proportions into the effect-size index h, enabling direct calculation of the required sample size.

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Sources

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI: 10.4324/9780203771587

Related methods

Referenced by

ScholarGatePower Analysis for Proportions (Sample Size and Power Analysis for Proportion Tests). Retrieved 2026-06-04 from https://scholargate.app/en/statistics/power-analysis-proportion