Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modeling approach
Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modeling approach
The paper investigates two different multilevel approaches, the multilevel cross-classified and the multiple-membership models, for the analysis of interviewer effects on wave non-response in longitudinal surveys. The models proposed incorporate both interviewer and area effects to account for the non-hierarchical structure, the influence of potentially more than one interviewer across waves and possible confounding of area and interviewer effects arising from the non-random allocation of interviewers across areas. The methods are compared by using a data set: the UK Family and Children Survey.
area effects, cross-classified models, family and children study, interviewer effects, multiple-membership models
1-17
Vassallo, Rebecca
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Durrant, Gabriele B.
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Smith, Peter W.F.
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Goldstein, Harvey
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Vassallo, Rebecca
8751b529-b4b7-4cbd-a040-dfe42d1cbd91
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Goldstein, Harvey
2dbd6fb2-6cd0-4364-84c3-80440bcc6558
Vassallo, Rebecca, Durrant, Gabriele B., Smith, Peter W.F. and Goldstein, Harvey
(2014)
Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modeling approach.
Journal of the Royal Statistical Society: Series A (Statistics in Society), .
(doi:10.1111/rssa.12049).
Abstract
The paper investigates two different multilevel approaches, the multilevel cross-classified and the multiple-membership models, for the analysis of interviewer effects on wave non-response in longitudinal surveys. The models proposed incorporate both interviewer and area effects to account for the non-hierarchical structure, the influence of potentially more than one interviewer across waves and possible confounding of area and interviewer effects arising from the non-random allocation of interviewers across areas. The methods are compared by using a data set: the UK Family and Children Survey.
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e-pub ahead of print date: 19 February 2014
Keywords:
area effects, cross-classified models, family and children study, interviewer effects, multiple-membership models
Organisations:
Statistical Sciences Research Institute
Identifiers
Local EPrints ID: 361611
URI: http://eprints.soton.ac.uk/id/eprint/361611
ISSN: 0964-1998
PURE UUID: 087cf26b-838f-4ef8-bbd1-c585777fd31b
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Date deposited: 29 Jan 2014 13:26
Last modified: 15 Mar 2024 02:43
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Author:
Rebecca Vassallo
Author:
Harvey Goldstein
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