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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
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
0964-1998
1-17
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
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), 1-17. (doi:10.1111/rssa.12049).

Record type: Article

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: https://eprints.soton.ac.uk/id/eprint/361611
ISSN: 0964-1998
PURE UUID: 087cf26b-838f-4ef8-bbd1-c585777fd31b
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 29 Jan 2014 13:26
Last modified: 20 Jul 2019 01:23

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