Using permutation tests to reduce type I and II errors for small ruminant research
JOURNAL OF APPLIED ANIMAL RESEARCH, vol.32, no.1, pp.69-72, 2007 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 32 Issue: 1
- Publication Date: 2007
- Journal Name: JOURNAL OF APPLIED ANIMAL RESEARCH
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.69-72
- Keywords: permutation test, ANOVA, power of the test, type I and II errors, hair length, MODELS
- Ondokuz Mayıs University Affiliated: Yes
Abstract
Although parametric tests (F or t) are considerably effective, these are sometimes ineffective when the assumptions needed by model are not provided. In such a case, permutation test unaffected by the assumptions can be applied as a non-parametric method. It has been observed by citing an example that permutation test produces more reliable results than one-way ANOVA in terms of type I error rate and power of the test and permutation test is recommended in order to avoid type I and II errors and to prevent the potential profit lost.