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A Mann-Whitney type effect measure of interaction for factorial designs

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posted on 2024-11-15, 09:22 authored by Jan De Neve, Olivier Thas
We propose a measure for interaction for factorial designs that is formulated in terms of a probability similar to the effect size of the Mann-Whitney test. It is shown how asymptotic confidence intervals can be obtained for the effect size and how a statistical test can be constructed. We further show how the test is related to the test proposed by Bhapkar and Gore [Sankhya A, 36:261-272 (1974)]. The results of a simulation study indicate that the test has good power properties and illustrate when the asymptotic approximations are adequate. The effect size is demonstrated on an example dataset.

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Citation

De Neve, J. & Thas, O. (2017). A Mann–Whitney type effect measure of interaction for factorial designs. Communications in Statistics: Theory and Methods,46 (22), 11243-11260.

Journal title

Communications in Statistics - Theory and Methods

Volume

46

Issue

22

Pagination

11243-11260

Language

English

RIS ID

114515

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