Using field process data to predict best times of contact conditioning on household and interviewer influences


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), 1029-1049. (doi:10.1111/j.1467-985X.2011.00715.x).

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Description/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.

Item Type: Article
ISSNs: 0964-1998 (print)
1467-985X (electronic)
Keywords: interviewer call record data, multilevel discrete time event history models, paradata, responsive survey design
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HQ The family. Marriage. Woman
Divisions: University Structure - Pre August 2011 > School of Social Sciences
University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
ePrint ID: 181081
Date Deposited: 15 Apr 2011 09:18
Last Modified: 14 Apr 2014 10:57
Research Funder: ESRC
Projects:
Hierarchical Analysis of Unit Nonresponse in Sample Surveys
Funded by: ESRC (RES-062-23-0458)
Led by: Gabriele B. Durrant
1 September 2007 to 28 February 2011
URI: http://eprints.soton.ac.uk/id/eprint/181081

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