Abstract #300096

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JSM 2003 Abstract #300096
Activity Number: 466
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #300096
Title: Comparison and Analysis of Stratified Randomized Response Models
Author(s): Jong-Min Kim*+ and Matthew Elam
Companies: University of Minnesota and University of Alabama
Address: College of Science and Math, Morris, MN, 56267,
Keywords: Stratified random sampling ; Sensitive characteristics ; Estimation of proportion
Abstract:

The randomized response (RR) technique is used in sample surveys to reduce nonsampling errors due to respondents answering untruthfully or not answering the questions presented to them. This paper briefly introduces stratified random sampling versions of Warner's RR model, the unrelated question RR model, and the two-stage RR model. These models are compared with their respective counterparts that use simple random sampling. Furthermore, the proposed models will be compared to each other in terms of relative efficiency. It is shown that stratified random sampling further minimizes the variability in the estimate of the proportion of people with the sensitive trait under question, resulting in a survey with more precise results.

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