Methods · Multivariate analysis · Repeated measures

Profile Analysis (Repeated-Measures MANOVA)

Profile analysis is a multivariate approach to repeated measures that tests parallelism, levels and flatness of group profiles using differences between adjacent occasions, without assuming sphericity.

프로파일 분석은 인접 측정 시점 간 차이를 이용해 집단 프로파일의 평행성, 수준, 평탄성을 구형성 가정 없이 검정하는 반복측정의 다변량 접근법입니다.

Do my groups change in the same way across repeated measurements, and do they differ in overall level?

반복 측정에서 집단들이 같은 모양으로 변하는지, 전체 수준이 다른지 알고 싶어요.

Profile analysis converts repeated measures into differences between adjacent occasions and tests whether group profiles are parallel with a MANOVA on those differences. It then tests whether groups differ in overall level with an ANOVA on each person's mean and whether the combined profile is flat with a Hotelling T² test, so sphericity is not required.

When to use Profile Analysis (Repeated-Measures MANOVA)

When to use something else

Assumptions and requirements

What the analysis reports

How to report it

Profile analysis of [p] occasions across [k] groups (N = [n]) showed that the profiles were [not] parallel, Wilks' Λ = [value], F([df1], [df2]) = [value], p = [value]; the levels test gave F([df1], [df2]) = [value], p = [value], and the flatness test gave F([df1], [df2]) = [value], p = [value].

Related methods

Run Profile Analysis (Repeated-Measures MANOVA) on Quorant

Data you need
a table (CSV or Excel) with item columns (e.g. questionnaire items) 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
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 Q33019 · Reviewed 2026-10-25