Ned English
NORC at the University of Chicago, Chicago
Ned English is a Senior Survey Methodoligist at NORC at the University of Chicago, where he has been since 2002. His expertise lies in the interface between GIS (geographic information systems) and survey methodology, and so has been involved in research including address-based sampling (ABS), targeting rare populations, and the implimentation of the USPS delivery-sequence file (DSF) over the past ten years. Ned has a Master's degree in Geography from the University of Wisconsin-Madison and a Bachelor's degree in Geography from McGill University.
606 – Address-Based Frame Enhancement: Recent Experience and Developments
Enhanced Listing for Improving Address Frame Coverage: A Review
Katie Archambeau
NORC at the University of Chicago
Ned English
NORC at the University of Chicago, Chicago
Colm O'Muircheataigh
NORC at the University of Chicago and The University of Chicago
While the USPS Computerized Delivery Sequence File (CDS or CDSF) has been shown to be an effective sampling frame for in-person, mail, and multi-mode surveys in most environments, areas with non-city style addresses or those experiencing demolition and new-construction will be at risk for differential coverage in some modes. While databases such as the NoStatistics or “NoStat” file may contain some of the housing units missing from the CDS, physical listing may still be necessary. Our paper will discuss enhanced (or dependent) listing, a method employed by multiple organizations to improve undercoverage and reduce overcoverage associated with vendor-provided address lists. We describe the advantages and drawbacks associated with enhanced listing, and discuss the potential impacts on costs, training, and resulting survey data.