Bulletin of Data Analysis of Japanese Classification Society
Online ISSN : 2434-3382
Print ISSN : 2186-4195
Article
An Analysis of English Language Entrance Examination Data from Kansai University
—Applying Language Testing Theory—
Atsushi MizumotoTakafumi WakitaToshiyo Nabei
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2017 Volume 6 Issue 1 Pages 21-29

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Abstract

In this study, we analyzed an English language entrance test of Kansai University administered in the past to validate its structural aspect. We also investigated the extent to which each section of the test had an influence on the overall test score. By applying the multidimensional item response theory (MIRT), we found that a bifactor model with a general factor and lower-level factors reflecting the differences of sections and reading materials fit the data better than other models. In addition, it was confirmed that a certain section in the test effectively performed to distinguish the ability of test takers. These results suggest that the test retains desirable traits as a measurement instrument used for entrance examination purposes in terms of the structural aspect of validity and assessment of test takers’ ability. At the same time, this study points to the importance of applying language testing theory in the process of creating, administering, and analyzing a high-stakes test. Implications of employing test theories are discussed in view of the current situation of entrance examination administration in Japan.

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© 2017 Japanese Classification Society
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