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STAT6097 Compensating for Non-Response

Module Overview

The aim of this module is to develop students’ understanding of the principles and methods used to compensate for non-response following survey data collection and to enable them to design a strategy for compensating for non-response in a particular survey.

Aims and Objectives

Module Aims

• Understand and be able to construct alternative weighting methods for handling unit nonresponse • Understand and be able to specify alternative methods to compensate for the effects of item non-response, with a focus on the use of imputation methods • Be able to design a weighting strategy or imputation strategy for dealing with non-response in a particular survey

Learning Outcomes

Knowledge and Understanding

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

  • The sources and nature of non-response in surveys and its potential effects on estimation


• Types of non-response • Response rates • Nature of non-response • Reasons for non-response • Prevention of non-response • Weighting methods, including sample based weighting, post-stratification and calibration • methods • Bias and variance properties of weighting methods • Designing a weighting strategy, weight truncation and standardization • Non-respondent sub-sampling and substitution • Approaches to item non-response • Imputation methods • Bias and variance properties of imputation • Designing an imputation strategy • Modeling approaches to missing data

Special Features

This module is run as a week-long short course, a component of the MSc in Official Statistics

Learning and Teaching

Independent Study150
Total study time150

Resources & Reading list

Särndal, C-E and Lundström, S (2005). Estimation in Surveys with Nonresponse. 

Cox BG et al (1995). Business Survey Methods. 

Lessler JT and Kalsbeek WD (1992). Non-Sampling Error in Surveys. 

Elliot D (1991). Weighting for Non-Response: a Survey Researchers’ Guide. 

Laboratory space and equipment required. Computing lab

Groves R, Dillman DA, Eltinge JL and Little RJA (2002). Survey Non-Response. 



MethodPercentage contribution
Assignment  ( words) 100%


MethodPercentage contribution
Coursework assignment(s) 100%

Repeat Information

Repeat type: Internal & External

Linked modules


To study this module, you will need to have studied the following module(s):

STAT6093Survey Sampling
STAT6095Regression Modelling
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