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Doorstep Interactions and Interviewer Effects on the Process Leading to Cooperation or Refusal

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  • Gabriele B. Durrant
  • Julia D’Arrigo

Abstract

This article presents an analysis of interviewer effects on the process leading to cooperation or refusal in face-to-face surveys. The focus is on the interaction between the householder and the interviewer on the doorstep, including initial reactions from the householder, and interviewer characteristics, behaviors, and skills. In contrast to most previous research on interviewer effects, which analyzed final response behavior, the focus here is on the analysis of the process that leads to cooperation or refusal. Multilevel multinomial discrete-time event history modeling is used to examine jointly the different outcomes at each call, taking account of the influence of interviewer characteristics, call histories, and sample member characteristics. The study benefits from a rich data set comprising call record data (paradata) from several face-to-face surveys linked to interviewer observations, detailed interviewer information, and census records. The models have implications for survey practice and may be used in responsive survey designs to inform effective interviewer calling strategies.

Suggested Citation

  • Gabriele B. Durrant & Julia D’Arrigo, 2014. "Doorstep Interactions and Interviewer Effects on the Process Leading to Cooperation or Refusal," Sociological Methods & Research, , vol. 43(3), pages 490-518, August.
    • Handle: RePEc:sae:somere:v:43:y:2014:i:3:p:490-518
    DOI: 10.1177/0049124114521148
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    References listed on IDEAS

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    1. Durrant, Gabriele B. & D'Arrigo, Julia & Steele, Fiona, 2011. "Using field process data to predict best times of contact conditioning on household and interviewer influences," LSE Research Online Documents on Economics 52201, London School of Economics and Political Science, LSE Library.
    2. Gabriele B. Durrant & Julia D'Arrigo & Fiona Steele, 2013. "Analysing interviewer call record data by using a multilevel discrete time event history modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(1), pages 251-269, January.
    3. Gabriele B. Durrant & Julia D'Arrigo & Fiona Steele, 2011. "Using paradata to predict best times of contact, conditioning on household and interviewer influences," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 1029-1049, October.
    4. Cheti Nicoletti & Franco Peracchi, 2005. "Survey response and survey characteristics: microlevel evidence from the European Community Household Panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(4), pages 763-781, November.
    5. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    6. Brady T. West, 2013. "An examination of the quality and utility of interviewer observations in the National Survey of Family Growth," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(1), pages 211-225, January.
    7. Jan Pickery & Geert Loosveldt, 2002. "A Multilevel Multinomial Analysis of Interviewer Effects on Various Components of Unit Nonresponse," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(4), pages 427-437, November.
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    Cited by:

    1. Roger Tourangeau & J. Michael Brick & Sharon Lohr & Jane Li, 2017. "Adaptive and responsive survey designs: a review and assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 203-223, January.

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