Quantitative Methods in the Social Sciences CEES4073
- Academic Session: 2021-22
- School: School of Social and Political Sciences
- Credits: 20
- Level: Level 4 (SCQF level 10)
- 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. One hour weekly labs - times to be confirmed.
Requirements of Entry
Mandatory Entry Requirements
The entry requirements for Honours (Joint and Single) in Central and East European Studies
Recommended Entry Requirements
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.
Are reassessment opportunities available for all summative assessments? Not applicable
Reassessments are normally available for all courses, except those which contribute to the Honours classification. 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 for this course are described below.
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. 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;
■ apply quantitative research methods to your specific discipline.
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.