module
Undergraduate Module Descriptor
SSI1005: Introduction to Social Data
This module descriptor refers to the 2023/4 academic year.
Overview
| NQF Level | 4 | ||
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| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module will run during term 1 (11 weeks) | ||
| Academic staff | Dr Hannah Bunting () | ||
| Pre-requisites | none | ||
| Co-requisites | none | ||
| Available via distance learning | No | ||
‘Women do 11 hours more housework than men’ or ‘Violent crime is down for three years in a row’. Much social science research uses quantitative research methods and statistics to investigate social phenomena ranging from employment, crime rates, health outcomes, political participation and social class. This introductory first-year module introduces you to key concepts in quantitative research design,data collection and data analysis as a basis for understanding such social phenomena
This module is suitable for all social science students and is part of the Q-Step core sequence in research methods.
| Module created | 11/12/2019 | Last revised | 14/04/2023 |
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