Acta Psychologica Sinica

Abstract

In this study, we used Multivariate Generalizability Theory (MGT) to analyze the Putonghua Test conducted by the State Language Commission. Random effect variance and covariance components were estimated in the G study. Generalizability coefficients for each part of the test and composite generalizability coefficient for the whole test were estimated in the subsequent D study. The results showed that the generalizability coefficient (reliability) is acceptable for the whole test but not for Part 3 (language use) of the test. It is reasonable to combine the three part universe scores into a composite universe score in this test. Since the generalizability coefficients of Part 1 and 2 in the test are large when employing three raters and 28 items for each part, therefore future test design can use fewer items.

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