Analysing the process leading to cooperation or refusal using call record data: A multilevel multinomial modelling approach
Analysing the process leading to cooperation or refusal using call record data: A multilevel multinomial modelling approach
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.
event history analysis, interviewer call record data, multilevel multinomial logistic regression, paradata, survey cooperation
Southampton Statistical Sciences Research Institute, University of Southampton
D'Arrigo, Julia
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Durrant, Gabriele B.
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Steele, Fiona
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2 March 2011
D'Arrigo, Julia
b83c3e61-9bec-4dec-a8d3-c9678c4e3421
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
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
(S3RI Methodology Working Papers, M11/03)
Southampton, GB.
Southampton Statistical Sciences Research Institute, University of Southampton
32pp.
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Monograph
(Working Paper)
Abstract
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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s3ri-workingpaper-M11-03.pdf
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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
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Date deposited: 02 Mar 2011 12:53
Last modified: 29 Jan 2020 14:23
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Contributors
Author:
Julia D'Arrigo
Author:
Fiona Steele
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