Sensitivity analysis of the refinement to the mann-whitney test

The aim of researchers when comparing two independent groups is to collect large normally distributed samples unless they lack the resources to access them. In these situations, there are a myriad of non-parametric tests to select, of which the Mann Whitney U test is the most commonly used. In spite...

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Main Authors: Abdul Rahman Othman, Lai, Chooi Heng
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2014
Online Access:http://journalarticle.ukm.my/7267/
http://journalarticle.ukm.my/7267/1/18_Abdul_Rahman.pdf
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author Abdul Rahman Othman,
Lai, Chooi Heng
author_facet Abdul Rahman Othman,
Lai, Chooi Heng
author_sort Abdul Rahman Othman,
building UKM Institutional Repository
collection Online Access
description The aim of researchers when comparing two independent groups is to collect large normally distributed samples unless they lack the resources to access them. In these situations, there are a myriad of non-parametric tests to select, of which the Mann Whitney U test is the most commonly used. In spite of its great advantages of usage, the U test is capable of producing inflated Type I error when applied in situation of heterogeneity or distinct variances. This current study will present a viable alternative called the refined Mann-Whitney test (RMW). A Monte Carlo evaluation test is conducted on RMW using artificial data of various combinations of extreme test conditions. This study reviews that the RMW test justified its development by enhancing the performance of the U test. The RMW test is able to control well its Type I error rates even though it has a lower power.
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spelling oai:generic.eprints.org:72672016-12-14T06:43:35Z http://journalarticle.ukm.my/7267/ Sensitivity analysis of the refinement to the mann-whitney test Abdul Rahman Othman, Lai, Chooi Heng The aim of researchers when comparing two independent groups is to collect large normally distributed samples unless they lack the resources to access them. In these situations, there are a myriad of non-parametric tests to select, of which the Mann Whitney U test is the most commonly used. In spite of its great advantages of usage, the U test is capable of producing inflated Type I error when applied in situation of heterogeneity or distinct variances. This current study will present a viable alternative called the refined Mann-Whitney test (RMW). A Monte Carlo evaluation test is conducted on RMW using artificial data of various combinations of extreme test conditions. This study reviews that the RMW test justified its development by enhancing the performance of the U test. The RMW test is able to control well its Type I error rates even though it has a lower power. Universiti Kebangsaan Malaysia 2014-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7267/1/18_Abdul_Rahman.pdf Abdul Rahman Othman, and Lai, Chooi Heng (2014) Sensitivity analysis of the refinement to the mann-whitney test. Sains Malaysiana, 43 (7). pp. 1095-1100. ISSN 0126-6039 http://www.ukm.my/jsm/
spellingShingle Abdul Rahman Othman,
Lai, Chooi Heng
Sensitivity analysis of the refinement to the mann-whitney test
title Sensitivity analysis of the refinement to the mann-whitney test
title_full Sensitivity analysis of the refinement to the mann-whitney test
title_fullStr Sensitivity analysis of the refinement to the mann-whitney test
title_full_unstemmed Sensitivity analysis of the refinement to the mann-whitney test
title_short Sensitivity analysis of the refinement to the mann-whitney test
title_sort sensitivity analysis of the refinement to the mann-whitney test
url http://journalarticle.ukm.my/7267/
http://journalarticle.ukm.my/7267/
http://journalarticle.ukm.my/7267/1/18_Abdul_Rahman.pdf