The University of Southampton
Social Sciences: Social Statistics & DemographyPart of Social SciencesPostgraduate study

STAT6086 Survey Methods I

Module Overview

This module aims to introduce you to the statistical aspects of the design and analysis of sample surveys. Basic theory underpinning survey inference will be introduced, focussing on methodology for survey-based estimation for population totals and related quantities for some standard sample designs. 

Aims and Objectives

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • The basic principles underlying survey design and estimation
  • Methods for designing and selecting a sample from a population
  • How to estimate finite population parameters, e.g. totals and means, for some standard sampling schemes
  • How to assess estimation errors

Transferable and Generic

Having successfully completed this module, you will be able to:

  • The ability to analyse and solve problems
  • The use of the statistical software STATA


The module takes a design-based approach to inference for survey populations. Topics include: survey estimation strategy, target populations and sampling frames, methods of sampling (probability vs non-probability sampling), simple random sampling, inclusion probabilities, unequal probability sampling, stratified sampling, ratio and regression estimation, systematic sampling, cluster sampling, two-stage sampling. 

Learning and Teaching

Resources and reading list

You will require access to the STATA software, which is available on the University's computer workstations. Note that this software is not currently available for download to your own computer for use with your studies.

One important text book which covers most of the syllabus is Lohr, S. (2010) Sampling: Design and Analysis (2nd edition), Brooks/Cole.

Indicative Reading List

  1. W. G. Cochran (1977). Sampling Techniques (3rd edition). New York: Wiley.
  2. L. C. Hamilton (2008). Statistics with Stata (Updated for Version 10). Brooks/Cole.
  3. S. Lohr (2010). Sampling: Design and Analysis (2nd edition). Brooks/Cole.
  4. C. E. Sarndal, B. Swensson, J. H. Wretman (1992). Model Assisted Survey Sampling. New York: Springer.


Assessment methods

Assessment Method Hours % contribution to final mark Feedback
Exam 2 hour(s) 100%

Referral Method: By examination


Costs associated with this course

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

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