Module SSI1005 for 2021/2
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Undergraduate Module Descriptor
SSI1005: Introduction to Social Data
This module descriptor refers to the 2021/2 academic year.
Module Content
Syllabus Plan
Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following themes:
• Introduction: What is quantitative research?
• Populations and samples
• Social surveys
• Correlation and causation
• Experiments in the social science
• Measurement. Reliability and validity in social science research
• Basic descriptive statistics and data analysis
Learning and Teaching
This table provides an overview of how your hours of study for this module are allocated:
Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
---|---|---|
28.5 | 121.5 | 0 |
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
Category | Hours of study time | Description |
---|---|---|
Scheduled Learning and Teaching Activity | 16.5 | 11 X 1.5 hour lectures |
Scheduled learning and teaching activity | 12 | 6 x 2 hour seminars |
Guided independent study | 33 | course readings |
Guided independent study | 60 | Reading for the take home exam |
Guided independent study | 28.5 | Preparation for the test |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).
Indicative Reading List
This reading list is indicative - i.e. it provides an idea of texts that may be useful to you on this module, but it is not considered to be a confirmed or compulsory reading list for this module.
Fowler, F.J. (2014) Survey research methods. London: Sage. 5th ed.
Imai, K. (2016). A first course in quantitative social science. Princeton University Press
Raykov, T. and Marcoulides, G.A. (2012). Basic Statistics. An Introduction with R. Rowman & Littlefield Publishers.