Review of Estimation Methods for Landline and Cell Phone Surveys

Antonio Arcos, María del Mar Rueda, Manuel Trujillo and David Molina

Sociological Methods & Research, 2015, vol. 44, issue 3, 458-485

Abstract: The rapid proliferation of cell phone use and the accompanying decline in landline service in recent years have resulted in substantial potential for coverage bias in landline random-digit-dial telephone surveys, which has led to the implementation of dual-frame designs that incorporate both landline and cell phone samples. Consequently, researchers have developed methods to allocate samples and combine the data from the two frames. In this article, we review point and interval estimation methods of proportions that can be used to analyze overlapping dual-frame surveys. We use data from the survey of attitudes toward immigrants and immigration (Opinions and Attitudes of the Andalusian Population regarding Immigration survey), a dual-frame telephone survey conducted in Andalusia, Spain, to explore these different statistical adjustments for combining landline and cell phone samples. Our application obtains good results for calibration, fixed weight, pseudo-empirical likelihood, and single-frame procedures. We recommend that one of these internally consistent estimators be used in practice. The results of these methods of estimation show that the negative image toward immigration continues to spread.

Keywords: dual-frame surveys; jackknife; proportion estimation; telephone surveys; variance estimation (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124114546904 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:44:y:2015:i:3:p:458-485

DOI: 10.1177/0049124114546904

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().