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Analysing the process leading to cooperation or refusal using call record data: A multilevel multinomial modelling approach

Record type: Monograph (Working Paper)

In recent years, survey agencies have started to collect detailed call record data, including information on the timing and outcome of each interviewer call to a household. In interviewbased household surveys, effective interviewer calling behaviours are critical in achieving cooperation and reducing the likelihood of refusal. This paper aims to analyze interviewer call record data to inform the process leading to cooperation or refusal in face-to-face surveys. Of particular interest are the influences on the outcome of a call of interactions between the interviewer and householder and of time-varying characteristics of the call. A multilevel multinomial logistic regression approach is used in which the different possible outcomes at each call are modelled jointly.

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Citation

D'Arrigo, Julia, Durrant, Gabriele B. and Steele, Fiona (2011) Analysing the process leading to cooperation or refusal using call record data: A multilevel multinomial modelling approach , Southampton, GB Southampton Statistical Sciences Research Institute, University of Southampton 32pp. (S3RI Methodology Working Papers, M11/03).

More information

Published date: 2 March 2011
Keywords: event history analysis, interviewer call record data, multilevel multinomial logistic regression, paradata, survey cooperation

Identifiers

Local EPrints ID: 176017
URI: http://eprints.soton.ac.uk/id/eprint/176017
PURE UUID: 362ce816-16cc-4527-a924-644d3e8a6149

Catalogue record

Date deposited: 02 Mar 2011 12:53
Last modified: 18 Jul 2017 12:08

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Contributors

Author: Julia D'Arrigo
Author: Fiona Steele

University divisions


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