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Gauging the Impact of Growing Nonresponse on Estimates from a National RDD Telephone Survey
Authors:Keeter  Scott; Kennedy  Courtney; Dimock  Michael; Best  Jonathan; Craighill  Peyton
Institution:SCOTT KEETER is with the Pew Research Center. COURTNEY KENNEDY is with the Pew Research Center and the Joint Program in Survey Methodology. MICHAEL DIMOCK is with the Pew Research Center. JONATHAN BEST is with Princeton Survey Research Associates International. PEYTON CRAIGHILL is with ABC News.
Abstract:Declining contact and cooperation rates in random digit dial(RDD) national telephone surveys raise serious concerns aboutthe validity of estimates drawn from such research. While researchin the 1990s indicated that nonresponse bias was relativelysmall, response rates have continued to fall since then. Thecurrent study replicates a 1997 methodological experiment thatcompared results from a "Standard" 5-day survey employing thePew Research Center’s usual methodology with results froma "Rigorous" survey conducted over a much longer field periodand achieving a significantly higher response rate. As withthe 1997 study, there is little to suggest that unit nonresponsewithin the range of response rates obtained seriously threatensthe quality of survey estimates. In 77 out of 84 comparableitems, the two surveys yielded results that were statisticallyindistinguishable. While the "Rigorous" study respondents tendedto be somewhat less politically engaged, they did not reportconsistently different behaviors or attitudes on other kindsof questions. With respect to sample composition, the Standardsurvey was closely aligned with estimates from the U.S. Censusand other large government surveys on most variables. We extendour analysis of nonresponse to include comparisons with thehardest-to-reach respondents and with respondents who terminatedthe interview prior to completion.
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