Quantitative Methods in the Social Sciences CEES3027
- Academic Session: 2021-22
- School: School of Social and Political Sciences
- Credits: 20
- Level: Level 3 (SCQF level 9)
- Typically Offered: Semester 1
- Available to Visiting Students: Yes
- Available to Erasmus Students: Yes
The course introduces quantitative research methods commonly used in the Social Sciences.
Lecture: Tuesdays 10-11. Lab times to be confirmed.
Requirements of Entry
Mandatory Entry Requirements
Grade D3 in Central and East European Studies 2A and Central and East European Studies 2B
Recommended Entry Requirements
Central and East European Studies 1A and Central and East European Studies 1B
The summative assessment will consist of:
■ a critical appraisal of the quantitative research methods and conclusions employed in an academic article. This will be 1,500 words in length and count for 40% of the final mark.
■ A research report based on an analysis of a prelaid dataset. You will have been working towards this report in your computer workshop. The report will be 3,000-3,500 words in length plus appropriate statistical output (tables and graphs). The research report counts for 60% of the final mark.
In accordance with the University's Code of Assessment reassessments are normally set for all courses which do not contribute to the honours classifications. For non honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students, and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions are listed below in this box.
The course introduces quantitative research methods commonly used in the Social Sciences. It will provide you with an opportunity to acquire skills in research design, data collection and data analysis. Those skills can then be applied to your specific degree subject. You will learn how to use a statistical programme for social scientists (R).
A grounding in quantitative methods will allow you to understand a wider range of academic literature, better understand the social and political world, and provide an important transferable skill attractive to employers.
Specific topics will include: why quantitative research matters; research design and research questions; sampling and questionnaire design; introduction to statistical analysis; univariate statistics; relationships between variables; the mis-presentation of data; ethical issues.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ demonstrate an understanding of the basic principles of quantitative research design and strategy;
■ select appropriate quantitative research methods for use in different research settings and be able to explain and justify your selection;
■ construct research hypotheses and demonstrate basic skills in question formulation and questionnaire design;
■ assess the use of quantitative research methods in the secondary literature;
■ use R to manipulate and analyse basic data;
■ present research findings clearly and concisely in text, tabular and graphical forms;
■ transfer the skills acquired to a workplace situation.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.