Using a dual-frame design to improve phone surveys on political attitudes: developing a weighting strategy for limited external information in Hong Kong

Kevin Tze-wai Wong (), Victor Zheng and Po-san Wan
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Kevin Tze-wai Wong: Hong Kong Institute of Asia-Pacific Studies, The Chinese University of Hong Kong
Victor Zheng: Hong Kong Institute of Asia-Pacific Studies, The Chinese University of Hong Kong
Po-san Wan: Hong Kong Institute of Asia-Pacific Studies, The Chinese University of Hong Kong

Quality & Quantity: International Journal of Methodology, 2022, vol. 56, issue 4, No 26, 2387-2414

Abstract: Abstract In recent years, rapid increases in mobile phone ownership and decreases in landline users have led to potential biases in landline phone survey estimations. Mobile-only users have been found to be over-represented in many mobile phone surveys. A dual-frame survey, namely a combination of a landline and mobile phone survey, is proposed to solve this problem. The design of such a survey requires a more complex weighting procedure and thus additional benchmark information on phone status and usages for weighting. There is no consensus on a standard weighting method, but there is a general agreement that it should include: (1) a computation of base weight and (2) a post-stratification adjustment. Various weighting methods for a dual-frame phone survey of political attitudes using empirical data from a study on political attitudes in Hong Kong were investigated in this study. We found that the average estimator and the single-frame estimator methods are the best approaches for computing the base weight for a dual-frame survey, and that they provide similar estimations on political attitudes. No significant difference in estimation on political attitudes was found between using only gender and age for the post-stratification adjustment and including gender, age, education, and working status. Cell weighting and raking provided similar estimations.

Keywords: Dual-frame survey; Weighting; Phone survey; Survey methodology; Political attitudes (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11135-021-01228-1

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