The 130th Annual Meeting of APHA

Abstract #42419

John Hall, Mathematica Policy Research, P.O. Box 2393, 600 Alexander Park, Princeton, NJ 08540, 609-799-3535, jhall@mathematica-mpr.com

The household component of the Community Tracking Survey (CTS) recently finished its third wave of data collection. The household survey employs a clustered survey to provide local estimates and an unclustered RDD survey to increase the precision of national estimates. Two features of the clustered sample are large (over 1000 households) samples in 12 of 60 sites (PSUs) to allow for precise local estimates and an inperson supplement in those same 12 sites to increase frame coverage. This paper reviews the sample selection and weighting strategies over the first three waves of the CTS; how they accommodated the needs for precise estimate of change while maintaining precise and unbiased cross-sectional estimates, and controlling survey costs.

Learning Objectives:

• To provide health researchers wiht understanding of the issues involved in a repeated survey of the general population using a combination of clustered and unclustered sampling designs

Keywords: Health Insurance, Survey

Related Web page: www.hschange.com

Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: Center for Studying Health Systems Change
I have a significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.
Relationship: Center for Health Systems Change and Mathematica Policy Research are both owned by Mathematica, Inc.