Methods · Hypothesis testing · Post hoc comparison

Scheffé's Test

Scheffé's test is a post hoc procedure following a significant ANOVA that tests all possible contrasts among group means, including complex contrasts, while controlling the familywise error rate.

Scheffé 검정은 분산분석이 유의한 뒤 집단 평균 간 복합 대비를 포함한 모든 가능한 대비를 검정하면서 전체 1종 오류율을 통제하는 사후검정이다.

Which post hoc test should I use after ANOVA if I want to test complex comparisons between group means?

분산분석 후 집단 평균 간 복합 비교를 검정하려면 어떤 사후검정을 써야 하나요?

Scheffé's test is a post hoc method that controls the familywise error rate for every possible linear contrast among group means, not just pairwise differences. It fits when you want to compare combinations of groups, such as the average of two treatments against a control, after a significant ANOVA.

When to use Scheffé's Test

When to use something else

Assumptions and requirements

What the analysis reports

How to report it

Scheffé post hoc tests showed that [group A] (M = [value], SD = [value]) scored significantly higher than [group B] (M = [value], SD = [value]), p = [value].

Related methods

Run Scheffé's Test on Quorant

Data you need
a table (CSV or Excel) with an outcome variable and a grouping variable
Price
250 credits for one analysis up to 10,000 rows (complexity level 2); larger or wider data costs more. Optional methodologist review: 1200 credits.
Checking
Python results are cross-checked against R reference outputs in every deployment
Before you pay
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Method ID Q11022 · Reviewed 2026-10-25