Methods · Hypothesis testing · Robust statistics

Robust Factorial ANOVA on Trimmed Means

Robust factorial ANOVA on trimmed means tests main effects and interactions in two- or three-way between-subjects designs using cell trimmed means, Winsorized variances and a heteroscedastic Johansen-type statistic.

절사평균 강건 요인 분산분석은 칸별 절사평균과 윈저화 분산, 이분산 Johansen 형 통계량으로 2·3원 피험자 간 설계의 주효과와 상호작용을 검정하는 방법입니다.

My two-way design has outliers and unequal variances across cells; is there a robust alternative to the factorial ANOVA?

이원 설계 자료에 이상치가 있고 칸마다 분산이 달라요. 요인 분산분석 대신 쓸 강건한 방법이 있나요?

Compute the 20% trimmed mean and Winsorized squared standard error in each cell and test each effect with a Johansen-type quadratic form that does not assume equal variances. Main-effect levels can then be compared with trimmed-mean contrasts using Welch degrees of freedom.

When to use Robust Factorial ANOVA on Trimmed Means

When to use something else

Assumptions and requirements

What the analysis reports

How to report it

A robust two-way ANOVA on 20% trimmed means showed a main effect of [factor], Q = [value], p = [value], and no [factor] x [factor] interaction, Q = [value], p = [value].

Related methods

Run Robust Factorial ANOVA on Trimmed Means on Quorant

Data you need
a table (CSV or Excel) with an outcome variable and predictor (feature) columns
Price
600 credits for one analysis up to 10,000 rows (complexity level 4); larger or wider data costs more. Optional methodologist review: 2400 credits.
Checking
Checked by property tests in every deployment
Before you pay
A free pre-analysis diagnosis checks your data and gives an exact quote; nothing is deducted until you approve it.

Method ID Q11092 · Reviewed 2026-10-25