@article{(Open Science Index):https://publications.waset.org/pdf/10001341,
	  title     = {Malaysian Multi-Ethnic Discrimination Scale: Preliminary Factor and Psychometric Analysis},
	  author    = {Chua Bee Seok and  Shamsul Amri Baharuddin and  Rosnah Ismail and  Ferlis Bahari and  Jasmine Adela Mutang and  Lailawati Madlan and  Asong Joseph},
	  country	= {},
	  institution	= {},
	  abstract     = {The aims of this study were to determine the factor
structure and psychometric properties (i.e., reliability and convergent
validity) of the Malaysian Multi-Ethnic Discrimination Scale
(MMEDS). It consists of 71-items measure experience, strategies
used and consequences of ethnic discrimination. A sample of 649
university students from one of the higher education institution in
Malaysia was asked to complete MMEDS, as well as Perceived
Ethnic and Racial Discrimination. The exploratory factor analysis on
ethnic discrimination experience extracted two factors labeled ‘unfair
treatment’ (15 items) and ‘Denial of the ethnic right’ (12 items)
which accounted for 60.92% of the total variance. The two sub scales
demonstrated clear reliability with internal consistency above .70.
The convergent validity of the Scale was supported by an expected
pattern of correlations (positive and significant correlation) between
the score of unfair treatment and denial of the ethnic right and the
score of Perceived Ethnic and Racial Discrimination by Peers Scale.
The results suggest that the MMEDS is a reliable and valid measure.
However, further studies need to be carried out in other groups of
sample as to validate the Scale.},
	    journal   = {International Journal of Psychological and Behavioral Sciences},
	  volume    = {8},
	  number    = {12},
	  year      = {2014},
	  pages     = {4028 - 4033},
	  ee        = {https://publications.waset.org/pdf/10001341},
	  url   	= {https://publications.waset.org/vol/96},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 96, 2014},