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The University of Southampton

STAT6118 Complex Survey Data Analysis

Module Overview

The aim of this module is to provide an introduction to the finite-population inference and modelling approaches for survey data.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Understand the principle of finite-population inference, including understanding the most common modelling approaches.
  • Estimate model parameters and assess the estimation errors, taking into account of the sampling feature (weighting, stratification and clustering), using STATA
  • Use basic weighting and imputation approaches for nonresponse adjustment.


Effects of finite-population sampling on standard statistical analysis methods Introduction to statistical inference framework Linear regression based on complex survey data Testing and model selection Logistic and log-linear models Dealing with missing observations

Learning and Teaching

Teaching and learning methods

The course comprises a series of classroom lectures intertwined with individual study and computer lab sessions where the students are expected to put in practice the topics presented in class.

Independent Study74
Total study time100

Resources & Reading list

Skinner, C.J., Holt, D. and Smith, T.M.F. (eds.) (1989). Analysis of Complex Surveys. 

Chambers, R.L. and Skinner, C.J. (eds.) (2003). Analysis of Survey Data.. 



MethodPercentage contribution
Coursework  (4000 words) 100%


MethodPercentage contribution
Coursework  (4000 words) 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisite: STAT6086

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