Alternative approaches to multilevel modelling of survey non-contact and refusal

Steele, Fiona and Durrant, Gabriele B. (2011) Alternative approaches to multilevel modelling of survey non-contact and refusal. International Statistical Review, 79, (1), 70-91. (doi:10.1111/j.1751-5823.2011.00133.x).


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We review three alternative approaches to modelling survey non-contact and refusal: multinomial, sequential, and sample selection (bivariate probit) models. We then propose a multilevel extension of the sample selection model to allow for both interviewer effects and dependency between non-contact and refusal rates at the household and interviewer level. All methods are applied and compared in an analysis of household non-response in the United Kingdom, using a data set with unusually rich information on both respondents and non-respondents from six major surveys. After controlling for household characteristics, there is little evidence of residual correlation between the unobserved characteristics affecting non-contact and refusal propensities at either the household or the interviewer level. We also find that the estimated coefficients of the multinomial and sequential models are surprisingly similar, which further investigation via a simulation study suggests is due to non-contact and refusal having largely different predictors

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1751-5823.2011.00133.x
ISSNs: 0306-7734
Subjects: H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
ePrint ID: 181029
Accepted Date and Publication Date:
April 2011Published
Date Deposited: 15 Apr 2011 07:50
Last Modified: 31 Mar 2016 13:35
Hierarchical Analysis of Unit Nonresponse in Sample Surveys
Funded by: ESRC National Centre for Research Methods (RES-062-23-0458)
Led by: Gabriele B. Durrant
1 September 2007 to 28 February 2011

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