Undergraduate Module Descriptor
SOC2094: Data Analysis in Social Science III
This module descriptor refers to the 2016/7 academic year.
|Term(s) and duration|
This module ran during term 2 (11 weeks)
Dr Alexey Bessudnov (Lecturer)
POL/SOC1041 and POL/SOC2077
POL/SOC2077 if not taken before
|Available via distance learning|
Basic descriptive statistical methods are often not enough for dealing with more complicated problems in the social sciences, as well as in marketing research, applied policy analysis, and data-driven journalism. This module introduces you to more advanced multivariate methods of social data analysis. While some statistical theory is covered in this module, the discussion of statistical concepts is generally non-mathematical and intuitive and is based on numerous examples from social science. The module assumes familiarity with basic descriptive statistics and linear regression analysis. POL/SOC1041 and POL/SOC2077 are the pre-requisites for this module.