The Sampling Bias in Random Digit Dialing
نویسندگان
چکیده
منابع مشابه
Bias from excluding Households without Telephones in Random Digit Dialing Surveys: Follow Up
I. INTRODUCTION The purpose of this paper is to investigate potential bias resulting from undercoverage of RDD sampling frames. Our method is to compare estimates of a variety of characteristics for households sampled by Random Digit Dialing (RDD) methods and those contacted in person as part of an area probability sample. A large number of surveys are conducted using RDD samples, and are restr...
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The rationale for the use of an advance respondent letter is based on the experience of survey researchers that contact before an actual interview attempt “warmsup” respondents, hopefully making them more positively disposed toward participation than if they were only to receive a “cold call.” The logic is that using advance respondent letters will increase response rates, thereby reducing the ...
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Telephone surveys are subject to coverage bias from noncoverage of nontelephone households. Though the percentage of households not having telephone service is small nationally, it can vary substantially by geographic area and by socioeconomic factors. For example, lack of telephone service is more common among low-income households than in other income groups, so low-income households may not ...
متن کاملFeasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies.
The usefulness of landline random digit dialing (RDD) in epidemiologic studies is threatened by the rapid increase in households with only cellular telephone service. This study assessed the feasibility of including cellular telephone numbers in RDD and differences between young adults with landline telephones and those with only cellular telephones. Between 2008 and 2009, a total of 9,023 cell...
متن کاملStability of sample quality for a national random-digit dialing cellular phone survey of young adults.
During the 2000s, rapid adoption of cellular phones and foregoing of landline telephones (i.e., wireless substitution) were observed (1–3). This affected behavioral surveillance by creating a staggering decrease in coverage for surveys that relied on random-digit dialing (RDD) sampling, resulting in biased health estimates (1–5). During this time, innovative sampling approaches that integrated ...
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ژورنال
عنوان ژورنال: IASSIST Quarterly
سال: 1988
ISSN: 0739-1137,0739-1137
DOI: 10.29173/iq408