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Adaptive Intervention Methodology for Reduction of Respondent Contact Burden in the American Community Survey

Ashmead Robert (), Slud Eric () and Hughes Todd ()
Additional contact information
Ashmead Robert: U.S. Census Bureau, 4600 Silver Hill Road, Washington, DC, 20233United States of America.
Slud Eric: U.S. Census Bureau, 4600 Silver Hill Road, Washington, DC, 20233United States of America.
Hughes Todd: UCLA Center for Health Policy Research, 10960 Wilshire Blvd, Suite 1550, Los Angeles, CA 90024, United States of America

Journal of Official Statistics, 2017, vol. 33, issue 4, 901-919

Abstract: The notion of respondent contact burden in sample surveys is defined, and a multi-stage process to develop policies for curtailing nonresponse follow-up is described with the goal of reducing this burden on prospective survey respondents. The method depends on contact history paradata containing information about contact attempts both for respondents and for sampled nonrespondents. By analysis of past data, policies to stop case follow-up based on control variables measured in paradata can be developed by calculating propensities to respond for paradata-defined subgroups of sampled cases. Competing policies can be assessed by comparing outcomes (lost interviews, numbers of contacts, patterns of reluctant participation, or refusal to participate) as if these stopping policies had been followed in past data. Finally, embedded survey experiments may be used to assess contact-burden reduction policies when these are implemented in the field. The multi-stage method described here abstracts the stages followed in a series of research studies aimed at reducing contact burden in the Computer Assisted Telephone Interview (CATI) and Computer Assisted Personal Interview (CAPI) modes of the American Community Survey (ACS), which culminated in implementation of policy changes in the ACS.

Keywords: Contact History Instrument; nonresponse follow-up; respondent burden; paradata (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:33:y:2017:i:4:p:901-919:n:4

DOI: 10.1515/jos-2017-0043

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