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Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modelling approach

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  • Rebecca Vassallo
  • Gabriele B. Durrant
  • Peter W. F. Smith
  • Harvey Goldstein

Abstract

type="main" xml:id="rssa12049-abs-0001"> 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.

Suggested Citation

  • Rebecca Vassallo & Gabriele B. Durrant & Peter W. F. Smith & Harvey Goldstein, 2015. "Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 83-99, January.
    • Handle: RePEc:bla:jorssa:v:178:y:2015:i:1:p:83-99
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    File URL: http://hdl.handle.net/10.1111/rssa.2014.178.issue-1
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    Cited by:

    1. Rebecca Vassallo & Gabriele Durrant & Peter Smith, 2017. "Separating interviewer and area effects by using a cross-classified multilevel logistic model: simulation findings and implications for survey designs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 531-550, February.
    2. Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2018. "Gender and altruism in a random sample," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 72-77.
    3. Alireza Rezaee & Mojtaba Ganjali & Ehsan Bahrami Samani, 2022. "Sample selection bias with multiple dependent selection rules: an application to survey data analysis with multilevel nonresponse," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-15, December.

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