Not available in 2017/18
SA4P2      Half Unit
Global Population Health: Research Design and Analyses

This information is for the 2017/18 session.

Teacher responsible

Dr Ernestina Coast OLD M 2.24, Dr Arjan Gjonca OLD M 2.25, Dr Tiziana Leone OLD 2.56, Prof Emily Grundy OLD M 2.23 and Prof Michael Murphy


This course is compulsory on the MSc in Global Population Health. This course is available with permission as an outside option to students on other programmes where regulations permit.

This course is compulsory for students on the MSc in Global Population Health who are taking the half-unit dissertation option SA4BA Global Population Health Research Report.  

This course will be available as an outside option to students in the department of Social Policy where regulations permit.


There are no pre-requisites.

This course is compulsory for students enrolled in the half-unit dissertation option SA4BA Global Population Health Report.  It is available as an option for students on other MSc Programmes, with the permission of their Programme Director.

Course content

This half-unit course will provide students with basic training and knowledge in research design and analysis for global population health.  Key topics include:  formulating research questions and hypotheses; literature searching and systematic narrative reviews; research design; ethical issues in research; research instrument design; data collection; sampling strategies and statistical power; data management and documentation; presentation of results; hypothesis testing and statistical analyses; and, drawing conclusions.  The course materials will focus on a broad range of quantitative and qualitative global population health research, and will help students not just to design, collect and manage data, but also to present and interpret their evidence.


10 hours of lectures and 12 hours of workshops in the MT. 3 hours of workshops in the LT.

10 x 1 hour lecture (MT)

10 x 1.5 hour seminar workshop (MT & LT)

Students on this course will have a reading week in Week 6, in line with departmental policy.

Formative coursework

Students will be expected to produce 5 quizzes in the MT.

Fortnightly online quizzes, linked to the content of lectures and seminars.  All students are expected to pass these formative tests.  They can be attempted as many times as needed until a pass is achieved. 

Indicative reading

A full e-reading list will be available.  Indicative general readings include:

  1. Flyvbjerg, B. (2001) Making social science matter: Why social inquiry fails and how it can succeed again. Cambridge: Cambridge University Press
  2. Geortz, Gary and Mahoney, James (2012). A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences. Princeton University Press.
  3. Gerring, John (2012, 2nd edition). Social Science Methodology: A Unified Framework. Cambridge University Press.
  4. Hancké, Bob. 2009. Intelligent Research Design. Oxford: Oxford University Press;
  5. Hennink, M. et al (2011) Qualitative Research Methods. London; Thousand Oaks, CA: SAGE
  6. Kirkwood, B. R., & Sterne, J. A. C. (2003) Essential medical statistics. 2003. Malden: Blackwell
  7. King, Gary et al 1994. Designing Social Inquiry. Princeton: Princeton University Press;
  8. Sayer, A. (1992) Method in social science: A realist approach. London: Routledge
  9. Seale, Clive (ed.) (2004). Social Research Methods: A Reader. Routledge
  10. Trochim, William and Donnelly, James (2008, 3rd edition). The Research Methods Knowledge Base. Atomic Dog.
  11. Bowleing, A.  Research methods in health.  Open University Press


Research proposal (80%) and presentation (20%) in the LT.

Key facts

Department: Social Policy

Total students 2016/17: Unavailable

Average class size 2016/17: Unavailable

Controlled access 2016/17: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills