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Interviewer Effects in the Measurement of Personal Network Size

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  • THEO VAN TILBURG

    (Vrije Universiteit Amsterdam)

Abstract

Methods for delineating personal networks in surveys contain complex instructions for the interviewers. It is assumed that the interviewers' experience and education influence their ability to follow these instructions. The magnitude of the interviewer effects on the personal network size has been investigated, and differences among interviewers have been explained on the basis of their experience and education. The data are from a survey among 4,059 older adults in the Netherlands interviewed in 1992 by 87 interviewers. A strong interviewer effect was observed. Furthermore, the results of a multilevel regression analysis showed that, controlled for respondent characteristics, well-educated interviewers with minor experience prior to the project and major experience within the project (i.e., the high sequence number of the interview) generated relatively large networks.

Suggested Citation

  • Theo Van Tilburg, 1998. "Interviewer Effects in the Measurement of Personal Network Size," Sociological Methods & Research, , vol. 26(3), pages 300-328, February.
    • Handle: RePEc:sae:somere:v:26:y:1998:i:3:p:300-328
    DOI: 10.1177/0049124198026003002
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    References listed on IDEAS

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    1. Wil Dijkstra, 1983. "How interviewer variance can bias the results of research on interviewer effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 17(3), pages 179-187, June.
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    Cited by:

    1. Ian Brunton-Smith & Patrick Sturgis & George Leckie, 2017. "Detecting and understanding interviewer effects on survey data by using a cross-classified mixed effects location–scale model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 551-568, February.
    2. Monaghan, Sinéad & Lavelle, Jonathan & Gunnigle, Patrick, 2017. "Mapping networks: Exploring the utility of social network analysis in management research and practice," Journal of Business Research, Elsevier, vol. 76(C), pages 136-144.
    3. Kerstin Ruckdeschel & Lenore Sauer & Robert Naderi, 2016. "Reliability of retrospective event histories within the German Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(11), pages 321-358.

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