Nonresponse Bias in a Dual Frame Sample of Cell and Landline Numbers |
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| Authors: | Brick J Michael; Dipko Sarah; Presser Stanley; Tucker Clyde; Yuan Yangyang |
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| Institution: | J. MICHAEL BRICK is vice president at Westat and a research professor at the Joint Program in Survey Methodology at the University of Maryland. SARAH DIPKO is a survey methodologist at Westat. STANLEY PRESSER is a professor in the Sociology Department and in the Joint Program in Survey Methodology at the University of Maryland. CLYDE TUCKER is a senior methodologist at the Bureau of Labor Statistics. YANGYANG "ANGELA" YUAN is an analytic consultant at Epsilon (she was a survey methodologist at Westat when this research was done). |
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| Abstract: | We conducted a dual frame survey of landline and cell phonenumbers in 2004 to evaluate the feasibility of including cellphone numbers in random digit dial telephone surveys in theUnited States. By sampling cell phone numbers, the coveragebias associated with households that have only cell phones iseliminated. However, we discovered two major sources of nonresponsebias in the dual frame sample. In an attempt to reduce thesebiases, we applied several different estimation schemes. Buta comparison to the 2004 Current Population Survey Cell PhoneSupplement showed that none of the estimation schemes substantiallyreduced the nonresponse bias of the estimates. We suggest othermethods that might be used in future surveys that include cellphones and discuss the need for additional data collection andresearch on this issue. |
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