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Review of Estimation Methods for Landline and Cell Phone Surveys

Author

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  • Antonio Arcos
  • María del Mar Rueda
  • Manuel Trujillo
  • David Molina

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.

Suggested Citation

  • Antonio Arcos & María del Mar Rueda & Manuel Trujillo & David Molina, 2015. "Review of Estimation Methods for Landline and Cell Phone Surveys," Sociological Methods & Research, , vol. 44(3), pages 458-485, August.
    • Handle: RePEc:sae:somere:v:44:y:2015:i:3:p:458-485
    DOI: 10.1177/0049124114546904
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    References listed on IDEAS

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    1. Vidal Díaz de Rada, 2011. "Face-to-face versus telephone surveys on political attitudes: a comparative analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 817-827, June.
    2. Britta Busse & Marek Fuchs, 2012. "The components of landline telephone survey coverage bias. The relative importance of no-phone and mobile-only populations," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1209-1225, June.
    3. Rao, J. N. K. & Wu, Changbao, 2010. "Pseudo–Empirical Likelihood Inference for Multiple Frame Surveys," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1494-1503.
    4. Lohr, Sharon & Rao, J.N.K., 2006. "Estimation in Multiple-Frame Surveys," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1019-1030, September.
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