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 Aims
The aim of this module is to introduce you to quantitative research design,data collection and basic data analysis. More specifically, it uses data sets and research examples drawn from existing social science research to illustrate core concepts and methods in quantitative research. By introducing you to methods such as experiments and surveys, and the type of social science research that can be produced using these, this module lays the foundation for understanding quantitative methods and for your own experience in conducting quantitative studies.
On successfully completing the programme you will be able to: | |
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Module-Specific Skills | 1. demonstrate basic knowledge of quantitative research design, data collection and some awareness of analytic techniques; 2. demonstrate basic understanding of what makes some quantitative research good and some bad quality (quality criterion); |
Discipline-Specific Skills | 3. demonstrate an understanding of quantitative research design in the social sciences at an introductory level; 4. create a relevant social science research question and hypothesis; |
Personal and Key Skills | 5. present quantitative data effectively and clearly; and 6. demonstrate numeracy skills which will be desirable to employers. |
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.