ISSN 0439-755X
CN 11-1911/B

›› 2004, Vol. 36 ›› Issue (02): 195-200.

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MULTIVARIATE GENERALIZABILITY ANALYSIS OF THE CHINESE COLLEGE ENTRANCE COMPREHENSIVE EXAMINATION

Yang Zhiming,Chang Lei,Ma Shiye   

  1. (1Psychology Department, Hunan Normal University, Changsha 410081, China) (2PMG, The Harcourt Assessment Inc., San Antonio, Texas 78259, USA) (3Educational Psychology Department, the Chinese University of Hong Kong, Shatin N.T., Hong Kong, China)
  • Received:2003-04-10 Revised:2003-04-10 Published:2004-03-30 Online:2004-03-30
  • Contact: Yang Zhiming

Abstract: The Chinese College Entrance Comprehensive Examination (CCECE), which consists of Geography, History, Political Studies, Biology, Chemistry and Physics, is a comprehensive achievement test to measure an examinee's academic readiness for tertiary education. This study used multivariate generalizability theory to estimate generalizability (reliability) coefficients of the CCECE. The G-study and D-study results suggested that the generalizability coefficient of the whole test was 0.78, which was considered moderate but acceptable. Doubling the items for all the subtests would increase generalizability coefficient to 0.88. Except for geography and political studies, reliability estimates for the subtests were acceptable. However, a composite universe score approach was not ideal both because variance distributions among subtests were inconsistent with the planned score weighting and because correlations among some subtests were low. For example, chemistry and history accounted for more variance than other subtests combined. Among the problematic subtests, geography contributed negatively to reliability of the whole test.

Key words: Multivariate Generalizability Theory, reliability, College Entrance Comprehensive Examination

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