MSc Data Science (Social Analytics) / Course details

Year of entry: 2021

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Course unit details:
Complex Survey Designs and Analysis

Unit code SOST70032
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Offered by Social Statistics
Available as a free choice unit? Yes


The students should have some familiarity with survey research and statistical modelling. A pre-requisite of the course is: Introduction to Statistical Modelling (ISM - SOST70011).


This course provides an insight into the design and methodological issues for the analysis of complex surveys. It also introduces analytical methods and software for handling complex survey datasets.

Learning outcomes

At the end of this module, students should be able to:

    • Understand methodological concepts in survey design, estimation and adjusting for nonresponse.
    • Assess the strengths and weaknesses of complex survey designs and the resultsing secondary survey data.
    • Assess how aspects of survey design will impact on the analysis.
    • Use STATA (and other) software to analyse complex survey data.
    • Understand the difference between model-based and design-based approaches to handling complex survey designs.

Teaching and learning methods

3 hour lectures online and on campus

Assessment methods

Method Weight
Other 15%
Written assignment (inc essay) 85%

The assessment for this module will be based on an online multiple-choice test (15%) and one piece of coursework of 3,000 words (85%).

Recommended reading

Blair, J., Czaja, R. and Blair, E. (2014) Designing Surveys: A Guide to Decisions and procedures, 3rd edition. CA: Sage Publication.

Heeringa, S. G., West, B. T, & Berglund, P. A. (2010). Applied Survey Data Analysis. Boca Raton: CRC Press.

Lehtonen, R. and Pahkinen, E.J. (2004) Practical Methods for Design and Analysis of Complex Surveys, 2nd edition.  Chichester: John Wiley & Sons.

Lohr, S.L. (2009) Sampling: Design and Analysis, 2nd edition. Boston: Brooks/Cole.

Snijders, T.A.B. & Bosker, R.J. (2012) Multilevel analysis: An Introduction to Basic and Advanced Multilevel Modelling, 2nd edition. London: Sage.

Study hours

Scheduled activity hours
Lectures 36
Independent study hours
Independent study 114

Teaching staff

Staff member Role
Maria Pampaka Unit coordinator

Additional notes


Compulsory for SRMS

Part time students must take ISM prior to CSDA


Week 1-4: Wednesday 9-12 & Thursday 9-12

Week 8 & 9: Thursday 9-12


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