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

Record type: Article

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

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Citation

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

More information

Published date: April 2011
Organisations: Southampton Statistical Research Inst.

Identifiers

Local EPrints ID: 181029
URI: http://eprints.soton.ac.uk/id/eprint/181029
ISSN: 0306-7734
PURE UUID: fa7f9d49-0b22-4467-bf57-0d43f0614369

Catalogue record

Date deposited: 15 Apr 2011 07:50
Last modified: 18 Jul 2017 12:00

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