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 survey response process and effective interviewer calling behaviours are critical in achieving contact and subsequent cooperation. This 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 or paradata, which greatly extend the basic information on interviewer calls. This 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.
paradata, interviewer call-record data, responsive survey design, multilevel discrete-time event history models
D'Arrigo, Julia
07400226-3e74-4795-bd5d-f1071270b1b6
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
June 2009
D'Arrigo, Julia
07400226-3e74-4795-bd5d-f1071270b1b6
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Steele, Fiona
7adddb2a-7213-4423-9101-9f796c15584e
D'Arrigo, Julia, Durrant, Gabriele B. and Steele, Fiona
(2009)
Using field process data to predict best times of contact conditioning on household and interviewer influences
42pp.
Record type:
Monograph
(Working Paper)
Abstract
Establishing contact is an important part of the survey response process and effective interviewer calling behaviours are critical in achieving contact and subsequent cooperation. This 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 or paradata, which greatly extend the basic information on interviewer calls. This 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
s3ri-workingpaper-M09-12.pdf
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More information
Published date: June 2009
Keywords:
paradata, interviewer call-record data, responsive survey design, multilevel discrete-time event history models
Identifiers
Local EPrints ID: 66318
URI: http://eprints.soton.ac.uk/id/eprint/66318
PURE UUID: 23313586-b22f-4dba-a45d-704c359ec7c5
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Date deposited: 01 Jun 2009
Last modified: 18 May 2024 01:36
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Contributors
Author:
Julia D'Arrigo
Author:
Fiona Steele
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