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Calculator · deterministic

One-way ANOVA sample size calculator

Three or more independent groups: total sample from Cohen's f and the number of groups.

Calculator

No AI, no sign-up — the arithmetic runs in the server-side deterministic solver, validated against G*Power and R pwr.

Spread of the group means ÷ within-group SD. Cohen's conventions: 0.10 small · 0.25 medium · 0.40 large.
How many independent groups are compared (3 or more).

When to use it

For comparing the means of three or more independent groups in one test: three doses, three devices, four center types. Remember: a significant omnibus ANOVA does not say which groups differ — pre-specify the pairwise comparisons and their multiplicity correction.

Where the inputs come from

  • Cohen's f: can be derived from published group means and SDs; if eta-squared is known, f = √(η² / (1 − η²)).
  • Number of groups: the real number of arms in the design; a "maybe we'll add one" arm is resolved in the protocol, not here.

Worked example

For three groups and a medium effect (f = 0.25), with α = 0.05 and 80% power the solver requires 53 participants per group (≈ 158 in total). At 20% attrition the total recruitment target is 198. Three well-defined groups beat four thin ones — for power and for interpretation.

How to write it in the protocol

Fill-in methods sentence

“For the primary analysis comparing [k] groups, the expected effect was f = [value] [with source]. One-way ANOVA with α = 0.05 and 80% power required [n] per group; allowing [x]% attrition, [N] in total were targeted.”

Sources

  1. Cohen J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Lawrence Erlbaum; 1988.
  2. Faul F, Erdfelder E, Lang A-G, Buchner A. G*Power 3: a flexible statistical power analysis program. Behav Res Methods. 2007;39:175–191.
  3. Champely S. pwr: Basic Functions for Power Analysis (R package).

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