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Module POL2094 for 2016/7
Undergraduate Module Descriptor
POL2094: Data Analysis in Social Science III
This module descriptor refers to the 2016/7 academic year.
Overview
| NQF Level | 5 | ||
|---|---|---|---|
| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module ran during term 2 (11 weeks) | ||
| Academic staff | Dr Alexey Bessudnov (Lecturer) | ||
| Pre-requisites | POL/SOC1041 and POL/SOC2077 | ||
| Co-requisites | POL/SOC2077 if not taken before | ||
| Available via distance learning | No | ||
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 statistical analysis of socialsocial 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. and the pre-requisites are either POL/SOC1041 or SOC2019and POL/SOC2077 are the pre-requisites for this module.
| Module created | 16/03/2016 | Last revised | 05/04/2016 |
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