Abstract—The purpose of this study is to examine the
psychometric properties of the Mental Retardation Attitude
Inventory-Revised (MRAI-R) via a multidimensional random
coefficients multinomial logit model (MRCMLM) under the
Rasch analysis. A total of 521 college students (294 males; 227
females), aged 18-25, in the area of south-east China, completed
the MRAI-R (Chinese version). The results showed that the
partial credit model had a better goodness of fit than the rating
scale model. Among all 29 items, two of them exhibited gender
differences (item 2 and 8), and two disordered in their step
analyses (item 2 and 22). With the identified four subconstructs,
the subscale Subtle Derogatory Beliefs (SUDB) had a relatively
low reliability (0.496) while compared to the other three
subscales (0.664-0.833). The current results revealed the
statistical feasibility of MRAI-R through item calibration.
Further work on investigating the details of the item nature
itself is recommended.
Index Terms—Mental retardation, Chinese college students,
MRAI-R, multidimensinal rasch analysis.
K. L. Sam is with the Faculty of Social Sciences, Hong Kong Baptist
University, Hong Kong (e-mail: samsam@life.hkbu.edu.hk).
C. X. Li and S. K. Lo are with the Faculty of Liberal Arts and Social
Sciences, The Hong Kong Institute of Education, Hong Kong (e-mail:
cxli@ied.edu.hk, skl@ied.edu.hk).
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Cite: Ka-Lam Sam, Chunxiao Li, and Sing-Kai Lo, " Validation of the Mental Retardation Attitude Inventory-Revised (MRAI-R): A Multidimensional Rasch Analysis," International Journal of Social Science and Humanity vol. 6, no. 7, pp. 519-524, 2016.