How Too Little Can Give You a Little Too Much
Determining the Number of Household Phone Lines in RDD Surveys
Bibliographic Data
| ID | 6369492 |
|---|---|
| Authors | Daniel Merkle (0000-0001-7792-375X), Gary Langer |
| Year | 2008 |
| Volume | 72 |
| Issue | 1 |
| Pages | 114-124 |
| Publication date | 2008-01-21 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Public Opinion Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0033-362X • E-ISSN: 1537-5331 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/poq/nfn004 |
| OpenAlex | W2076210937 |
| Language | EN |
| Citations received | 2 |
| References cited | 1 |
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of household phone numbers produces an inaccurate weight. Failing explicitly to remove irrelevant phone numbers, especially cell phones, produces a larger-than-appropriate weighting adjustment. Potentially more important on a practical level is that, when done correctly, and even when “overdone,” phone line weighting had little impact across a diverse set of opinion and demographic variables
Data mining · Econometrics · Line (geometry · Measure (data warehouse · Phone · Set (abstract data type · Statistics · Weighting · Computer Science · Data-Driven Disease Surveillance · Mathematics · Medicine · Survey Methodology and Nonresponse · Urban, Neighborhood, and Segregation Studies
| Citations per year | 0.12 |
|---|---|
| Citation span | 2009 - 2011 (3) |
| Highly cited | No |