Multilevel modelling of refusal and non-contact in household surveys: evidence from six UK Government surveys

We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which eff...

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Published inJournal of the Royal Statistical Society. Series A, Statistics in society Vol. 172; no. 2; pp. 361 - 381
Main Authors Durrant, Gabriele B., Steele, Fiona
Format Journal Article
LanguageEnglish
Published Oxford, UK Oxford, UK : Blackwell Publishing Ltd 01.04.2009
Blackwell Publishing Ltd
Blackwell Publishing
Blackwell
Royal Statistical Society
Oxford University Press
SeriesJournal of the Royal Statistical Society Series A
Subjects
Applications
Census Link Study
Censuses
Children
Data collection
Denial
Economic surveys
Exact sciences and technology
General topics
Global analysis, analysis on manifolds
Household characteristics
Households
Mathematical models
Mathematics
Modelling
Multilevel models
Multilevel multinomial models
Non-contact
Polls & surveys
Probability and statistics
Refusal
Retirement
Sampling theory, sample surveys
Sciences and techniques of general use
Self employment
Statistical methods
Statistics
Studies
Survey data
Survey design
Survey unit non-response
Theories of survey participation
Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds
United Kingdom
United Kingdom > UK
Survey unit non-response
Household
Non response
Multilevel multinomial models
Statistical method
Census Link Study
Refusal
Census
Sampling theory
Multinomial distribution
Non-contact
Sample survey
Theories of survey participation
Application
Online AccessGet full text

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Abstract We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non-respondents.
AbstractList We analyse household unit non‐response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non‐respondents.
We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non-respondents. Copyright (c) 2009 Royal Statistical Society.
We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non-respondents. Reprinted by permission of Blackwell Publishers
We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non-respondents. [PUBLICATION ABSTRACT]
Summary We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non-respondents.
Author Durrant, Gabriele B.
Steele, Fiona
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Issue 2
Keywords Survey unit non-response
Household
Non response
Multilevel multinomial models
Statistical method
Census Link Study
Refusal
Census
Sampling theory
Multinomial distribution
Non-contact
Sample survey
Theories of survey participation
Application
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Dillman (2023032407412915100_) 2000
DeMaio (2023032407412915100_) 1980; 44
Steeh (2023032407412915100_) 2001; 17
De Heer (2023032407412915100_) 1999; 15
White (2023032407412915100_) 2001
Glorioux (2023032407412915100_) 1993; 30
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Snippet We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by...
We analyse household unit non‐response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by...
Summary We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided...
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pascalfrancis
wiley
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StartPage 361
SubjectTerms Applications
Census Link Study
Censuses
Children
Data collection
Denial
Economic surveys
Exact sciences and technology
General topics
Global analysis, analysis on manifolds
Household characteristics
Households
Mathematical models
Mathematics
Modelling
Multilevel models
Multilevel multinomial models
Non-contact
Polls & surveys
Probability and statistics
Refusal
Retirement
Sampling theory, sample surveys
Sciences and techniques of general use
Self employment
Statistical methods
Statistics
Studies
Survey data
Survey design
Survey unit non-response
Theories of survey participation
Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds
United Kingdom
Title Multilevel modelling of refusal and non-contact in household surveys: evidence from six UK Government surveys
URI https://api.istex.fr/ark:/67375/WNG-19B2CM1K-H/fulltext.pdf
https://www.jstor.org/stable/20622503
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1467-985X.2008.00565.x
http://econpapers.repec.org/article/blajorssa/v_3a172_3ay_3a2009_3ai_3a2_3ap_3a361-381.htm
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Volume 172
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