- Module code: QS904
- Module name: Research Design, Workflow and Data Management
- Department: Sociology
- Credit: 20
Module content and teaching
When learning about quantitative data analysis we spend most of our time figuring out how to perform and interpret statistical models. However, in our daily practice we will spend the majority of our time preparing our data for analysis. This course will introduce the skills and techniques required to plan, organise, document and execute research in a manner which will encourage efficiency, accuracy and replication.
Principal learning outcomes
By the end of this module students will: • Demonstrate an advanced and critical understanding of the pitfalls that are often involved when analysing real-world, complex, data (e.g. missing data, attrition, non-representative samples); • Have a comprehensive understanding of the processes of planning, organising and documenting quantitative social science research; • Understand the role of sensitivity analysis, replication and transparency in quantitative research; • Appreciate how theoretical social science concepts can be operationalised in quantitative research; • Have the practical skills to independently enable data for analysis in Stata.
Timetabled teaching activities
Lectures/Computer Labs are typically scheduled to Mondays, 12-1 pm / 1-3pm, starting week 2 (Timetabled Teaching Activities are not finalised until September).
|Assessment group||Assessment name||Percentage|
|20 CATS (Module code: QS904-20)|
|A (Assessed work only)||Technical Report 1 (1500 words)||40%|
|Technical Report 2 (3000 words)||60%|
This module is available on the following courses:
- Postgraduate Taught Sociology (L3PD) - Year 2
- Postgraduate Taught Social Research (L3PE) - Year 2
- Postgraduate Taught Gender and International Development (M9P7) - Year 2