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QS904 - Research Design, Workflow and Data Management

  • Module code: QS904
  • Module name: Research Design, Workflow and Data Management
  • Department: Sociology
  • Credit: 20

Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

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).

Departmental link

Module assessment

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%

Module availability

This module is available on the following courses:



Optional Core


  • Postgraduate Taught Sociology (L3PD) - Year 2
  • Postgraduate Taught Social Research (L3PE) - Year 2
  • Postgraduate Taught Gender and International Development (M9P7) - Year 2