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Activity Number: 279
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #305901
Title: New Cell Collapsing Strategies Based on Collapsing Adjustment Factor
Author(s): Jay J. Kim*+ and Richard Valliant and Wenxing Zha
Companies: National Center for Health Statistics and University of Michigan and National Institutes of Health
Address: 3111 Toledo Road, Hyattsville, MD, 20782,
Keywords: cell collapsing criteria ; coverage ratio ; censoring ; bias ; mean square error
Abstract:

One of the cell collapsing criteria is a ratio criterion, where the ratio is the poststratification factor or inverse coverage ratio. Quite often, if the ratio for a cell is greater than 2 or less than ½, then the cell is collapsed with another cell. However, this can introduce bias in a poorly covered group. Censoring (or truncation) approach in collapsing was proposed and implemented in a simulation study. The simulation study showed that the censoring approach is better than the approach mentioned above. In this paper, we propose four new collapsing strategies, two of which is based on the conditional local bias and the others on the conditional local mean square error.

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