Abstract
Jews are a small proportion of the overall population and local community surveys are inherently challenging to conduct. Until recently, primary sample random digit dialing (RDD) surveys have been the preferred approach. But the proliferation of cellphones and declining response rates make RDD extremely expensive. The result is that communities who use RDD end up relying on small and/or biased samples. To overcome these challenges, the authors have developed a multi-method approach. It relies on cross-survey synthesis of extant RDD survey data that yields, along with significant cost savings, a more comprehensive sample. The approach also utilizes a broad list-based sample that goes beyond local federation lists and includes multiple other organizations. To maximize response rates, surveys are fielded both by phone and email. Finally, to correct for sample bias, adjustments are made using census-like data on organizational memberships and enrollments. In a series of four local Jewish community studies, the use of multiple methods has produced results that can be cross-validated against known data about the local Jewish community and known information that describes the local community context. Responding to the challenges posed by local Jewish community studies requires being transparent about the strengths and weaknesses of the methods used, while being responsive to the questions posed by communal sponsors.