Alternative approaches to multilevel modelling of survey non-contact and refusal
Alternative approaches to multilevel modelling of survey non-contact and refusal
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
70-91
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
April 2011
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Steele, Fiona and Durrant, Gabriele B.
(2011)
Alternative approaches to multilevel modelling of survey non-contact and refusal.
International Statistical Review, 79 (1), .
(doi:10.1111/j.1751-5823.2011.00133.x).
Abstract
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
Text
Steele_Durrant_2011_International_Statistical_Review.pdf
- Accepted Manuscript
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Published date: April 2011
Organisations:
Southampton Statistical Research Inst.
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Local EPrints ID: 181029
URI: http://eprints.soton.ac.uk/id/eprint/181029
ISSN: 0306-7734
PURE UUID: fa7f9d49-0b22-4467-bf57-0d43f0614369
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Date deposited: 15 Apr 2011 07:50
Last modified: 14 Mar 2024 02:54
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Fiona Steele
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