Using field process data to predict best times of contact conditioning on household and interviewer influences
Using field process data to predict best times of contact conditioning on household and interviewer influences
Establishing contact is an important part of the response process and effective interviewer calling behaviours are critical in achieving contact and subsequent co-operation. The paper investigates best times of contact for different types of households and the influence of the interviewer on establishing contact. Recent developments in the survey data collection process have led to the collection of so-called field process data or paradata, which greatly extend the basic information on interviewer calls. The paper develops a multilevel discrete time event history model based on interviewer call record data to predict the likelihood of contact at each call. The results have implications for survey practice and inform the design of effective interviewer calling times, including responsive survey designs.
interviewer call record data, multilevel discrete time event history models, paradata, responsive survey design
1029-1049
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
D'Arrigo, Julia
b83c3e61-9bec-4dec-a8d3-c9678c4e3421
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
October 2011
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
D'Arrigo, Julia
b83c3e61-9bec-4dec-a8d3-c9678c4e3421
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
Durrant, Gabriele B., D'Arrigo, Julia and Steele, Fiona
(2011)
Using field process data to predict best times of contact conditioning on household and interviewer influences.
Journal of the Royal Statistical Society: Series A (Statistics in Society), 174 (4), .
(doi:10.1111/j.1467-985X.2011.00715.x).
Abstract
Establishing contact is an important part of the response process and effective interviewer calling behaviours are critical in achieving contact and subsequent co-operation. The paper investigates best times of contact for different types of households and the influence of the interviewer on establishing contact. Recent developments in the survey data collection process have led to the collection of so-called field process data or paradata, which greatly extend the basic information on interviewer calls. The paper develops a multilevel discrete time event history model based on interviewer call record data to predict the likelihood of contact at each call. The results have implications for survey practice and inform the design of effective interviewer calling times, including responsive survey designs.
Text
Durrant_D'Arrigo_Steele_interv_call_25_final_JRSSA_forthcoming.pdf
- Author's Original
More information
e-pub ahead of print date: 4 August 2011
Published date: October 2011
Keywords:
interviewer call record data, multilevel discrete time event history models, paradata, responsive survey design
Identifiers
Local EPrints ID: 181081
URI: http://eprints.soton.ac.uk/id/eprint/181081
ISSN: 0964-1998
PURE UUID: 4afbddbf-3322-4055-be74-9d1671533aa1
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Date deposited: 15 Apr 2011 09:18
Last modified: 14 Mar 2024 02:54
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Contributors
Author:
Julia D'Arrigo
Author:
Fiona Steele
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