445 – Contributed Oral Poster Presentations: Survey Research Methods Section
Weighting Approach for a Statewide Dual-Frame RDD Survey
Liza Nirelli McNamee
University of Idaho
Monica Reyna
University of Idaho
Snehalatha Gantla
University of Idaho, Social Science Research Unit
Priscilla Salant
University of Idaho
J.D. Wulfhorst
University of Idaho
This paper describes a statewide dual-frame RDD survey weighting procedure developed in SAS using the Raking SAS Macro with weight trimming (Izrael, 2009). The AAPOR Cell Phone Survey Task Force Report states, "There is no consensus regarding how RDD cell phone samples should be weighted, especially when combining them with RDD landline samples." During the winter of 2014, a dual-frame, stratified random sample, including cell and landline telephone users, was utilized to ensure coverage of a statewide population. A total of 12 sub-sampling frames were created by using six non-overlapping strata representing six geographic regions and two frames, cell and landline, for each region. The weighting process consisted of developing design weights for selection probability, eligibility, non-response, multiplicity due to multiple phones, respondent selection procedure, and frame overlap. Raking and trimming techniques were used to adjust the sample to reflect the statewide telephone service benchmarks and demographics of interest. This paper presents the weighting methodology along with estimates at each stage, the limitations of the procedure, and the methodological lessons learned.