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Kazuo Anma

Professor of Applied Linguistics at Dokkyo University. PhD from the University of Reading, UK. Specializes in the analysis of language tests using multivariate analysis and corpus analysis of English textbooks. Representative research examples include the identification of characteristics of English reading comprehension ability by combining logistic regression analysis and contour analysis (Japan SAS Users Association General Meeting, 2004), a partial scoring method for sorting problems using Excel (ICICT, 2019), ability estimation in small-scale placement tests using logistic regression analysis (Cambridge Scholars Publishing, 2016), and tracking the recurrence frequency of junior high school English grammar items and classifying items using nonlinear regression (English Corpus Society, 2021).

Professor, Faculty of International Liberal Arts - Dokkyo University