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This course is designed or students in disciplines of humanities and social sciences. It provides basic training in quantitively reasoning and data analytical methods widely applicable in research in disciplines such as applied linguistics, language education, psychology, political science, etc. The major topics covered in the course include basic probability theory, sampling and statistical inferences, research variables, data treatment and data visualization, statistical relationships, testing for group differences, linear regression analysis, etc. The course adopts a “user-friendly” practical approach (lectures + tutorials via SPSS) to teach data analytical methods for quantitative research in disciplines of humanities and social sciences. Applied examples from relevant disciplines are used extensively to facilitate students’ understanding of the data analytical skills and their applications in the respective disciplines.