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Using Community-Level Correlates to Evaluate Nonresponse Effects in a Telephone Survey

Bibliographic Data

ID7363579
AuthorsTimothy P Johnson (0000-0001-9745-9683), Y I Cho, Richard T Campbell (0000-0002-9998-6011), Allyson L Holbrook
Year2006
Volume70
Issue5
Pages704-719
Publication date2006-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePublic Opinion Quarterly (JOURNAL)
Journal identifiersISSN: 0033-362X • E-ISSN: 1537-5331
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/poq/nfl032
OpenAlexW2145530347
LanguageEN
Citations received17
References cited6

Understanding the relationship between nonresponse processes and key research variables is central to evaluating if and how nonresponse introduces bias into survey estimates. In most telephone surveys, however, little information is available with which to estimate these effects. We report a procedure for examining the potential effects of nonresponse via analyses that (1) investigate the linkages between community-level (zip code) variables and survey nonresponse and (2) examine the associations between these community-level variables and key survey measures. We demonstrate these procedures using hierarchical modeling to analyze data from a state-wide telephone survey in Illinois. One zip code–level indicator of concentrated disadvantage—the percentage of the population below poverty level—was found to be positively associated with nonresponse and, among respondents, with both current physical disability status and lack of health insurance coverage, suggesting that both may have been underestimated in this survey. This inexpensive approach has the potential of enabling researchers to routinely evaluate nonresponse effects in their survey data

Business · Current Population Survey · Econometrics · Economics · Environmental health · Non-response bias · Population · Sociology · Statistics · Survey data collection · Survey methodology · Telephone survey · Health disparities and outcomes · Healthcare Policy and Management · Mathematics · Medicine · Psychology · Survey Methodology and Nonresponse · Demography

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Unique citing works17
Citations per year0,94
Citation span2008 - 2025 (18)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 17
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