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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universiti Kebangsaan Malaysia
2014
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| Online Access: | http://journalarticle.ukm.my/7267/1/18_Abdul_Rahman.pdf |
| _version_ | 1825725986836054016 |
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| author | Abdul Rahman Othman, Lai, Chooi Heng |
| author_facet | Abdul Rahman Othman, Lai, Chooi Heng |
| author_sort | Abdul Rahman Othman, |
| collection | UKM |
| 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. |
| first_indexed | 2024-03-06T04:04:00Z |
| format | Article |
| id | ukm.eprints-7267 |
| institution | Universiti Kebangsaan Malaysia |
| language | English |
| last_indexed | 2024-03-06T04:04:00Z |
| publishDate | 2014 |
| publisher | Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | ukm.eprints-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/7267/1/18_Abdul_Rahman.pdf |
| work_keys_str_mv | AT abdulrahmanothman sensitivityanalysisoftherefinementtothemannwhitneytest AT laichooiheng sensitivityanalysisoftherefinementtothemannwhitneytest |