Methods · Hypothesis testing · Post hoc comparison

Tukey HSD Post Hoc Test

Tukey's HSD (honestly significant difference) test is a post hoc procedure that compares all pairs of group means after ANOVA while controlling the familywise error rate.

튜키 HSD 검정은 분산분석 이후 모든 집단 평균 쌍을 비교하면서 집단전체 오류율(familywise error rate)을 통제하는 사후검정 방법이다.

After a significant ANOVA, how do I find which groups differ from each other?

분산분석이 유의할 때 어느 집단끼리 다른지 어떻게 알 수 있나요?

Tukey's HSD test compares every pair of group means in a one-way design and keeps the familywise error rate at the chosen alpha level; it is often run after a significant ANOVA, but it does not require one. It fits when group variances are similar; with unequal variances the Games-Howell test is preferred.

When to use Tukey HSD Post Hoc Test

When to use something else

Assumptions and requirements

What the analysis reports

How to report it

Tukey HSD post hoc comparisons showed that [Group A] scored higher than [Group B], mean difference = [value], 95% CI [[value], [value]], p = [value].

Related methods

Run Tukey HSD Post Hoc Test on Quorant

Data you need
a table (CSV or Excel) with an outcome variable and a grouping variable
Price
400 credits for one analysis up to 10,000 rows (complexity level 3); larger or wider data costs more. Optional methodologist review: 1800 credits.
Checking
Python results are cross-checked against R reference outputs in every deployment
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Method ID Q11019 · Reviewed 2026-10-25