Testing on the Difference of Student’s Performance using Robust Methods
ANOVA is known to be adversely affected by non-normality and unbalanced design. Type I error and power rates are substantially affected when these problems occur simultaneously. Continuously using ANOVA under the influence of these problems eventually will result in unreliable findings. This study p...
Autores principales: | Md Yusof, Zahayu, Abdullah, Suhaida, Syed Yahaya, Sharipah Soaad |
---|---|
Formato: | Artículo |
Lenguaje: | English |
Publicado: |
IDOSI Publications
2012
|
Materias: | |
Acceso en línea: | https://repo.uum.edu.my/id/eprint/30955/1/WASJ%2017%202012%2066-71.pdf |
Ejemplares similares
-
Testing on performance using robust methods
por: Md Yusof, Zahayu, et al.
Publicado: (2014) -
The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization
por: Abdullah, Suhaida, et al.
Publicado: (2017) -
A robust alternative to the t - Test
por: Md Yusof, Zahayu, et al.
Publicado: (2012) -
Comparing the performance of modified Ft statistic with ANOVA and Kruskal Wallis test
por: Md Yusof, Zahayu, et al.
Publicado: (2013) -
Type I error rates of t-test and T1 statistic under balanced and unbalanced designs
por: Md Yusof, Zahayu, et al.
Publicado: (2010)