Abstract #301411

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JSM 2003 Abstract #301411
Activity Number: 435
Type: Topic Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #301411
Title: Markov Latent Class Analysis and Its Application to the Current Population Survey
Author(s): Bac Tran*+ and Franklin Winters
Companies: U.S. Census Bureau and National Center for Health Statistics
Address: 4700 Silver Hill Rd., Suitland, MD, 20906,
Keywords: index of inconsistency ; gross difference rate ; misclassification error ; response errors ; reinterview surveys
Abstract:

Census Bureau has been using reinterview programs in Current Population Survey (CPS) to identify problematic questions. The index of inconsistency and the gross difference rate are statistical tools which are used to measure response error. Latent Class Analysis (LCA) offers a new way of estimating response error in longitudinal surveys. LCA does not require the reinterview process. Therefore, it saves cost, time, and reduces the burden on the respondents. Furthermore, it can estimate the error probabilities, true prevalence rates, and response bias. This paper documents a simulation study which was conducted to investigate the properties of the Markov Latent Class Analysis (MLCA) technique. We applied MLCA to the CPS data and found that the results from MLCA agreed with the current reinterview method up to 84% in estimating the response error when the reinterview replicated the original interview.

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