Abstract #301499

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JSM 2003 Abstract #301499
Activity Number: 441
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #301499
Title: Design Effects and Survey Planning
Author(s): Inho Park*+ and Marianne W. Winglee and Jay Clark and Keith F. Rust and Andrea J. Sedlak
Companies: Westat and Westat and Westat and Westat and Westat
Address: 1650 Research Blvd., Rockville, MD, 20850-3195,
Keywords: decomposition models ; variance components ; cost
Abstract:

The design effect, a tool to measure the relative efficiency of complex features adopted in a survey sample design compared to simple random sampling, is valuable in developing the sample design for new surveys. Verma, Scott, and O'Muircheartaigh (1980), for example, demonstrate an application of design effect analyses on the World Fertility Survey for such a purpose. This paper uses various design effect decomposition models to evaluate design features individually and collectively on data from the Third National Incidence Study of Child Abuse and Neglect (NIS-3). The NIS-3 adopts a multi-frame sample design with stratified multistage probability cluster selection. Our analyses focus on subclass proportions and totals, that is, relative and absolute sizes of subclasses of major study interest. The results will be used to plan the next implementation of the National Incidence Study.

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