The University of Southampton
Courses

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

Module Aims

The aim of the course is to present methods for statistical modelling and associated tests based on complex survey data, including missing observations (e.g. due to survey nonresponse), with an emphasis on the impact of differential weighting, stratification and clustering on linear and logistic regression modelling. Hands on exposure to the survey analysis and modelling facilities of the STATA package will form an integral part of this course. The course will also discuss issues associated with testing for goodness of fit and independence using tabulated survey data. By the end of the course you will have a solid foundation in the conceptual issues associated with statistical modelling and testing using complex survey data as well as practical skills in the use of STATA to fit both linear and logistic regression models while accounting for survey weights, stratification and clustering.

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.

Syllabus

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.

TypeHours
Independent Study74
Teaching26
Total study time100

Resources & Reading list

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

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

Assessment

Summative

MethodPercentage contribution
Coursework  (4000 words) 100%

Referral

MethodPercentage contribution
Coursework  (4000 words) 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisite: STAT6086

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