This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 140
Type: Contributed
Date/Time: Monday, August 2, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #309258
Title: Latent Class Analysis in Computer Expenditure Reports
Author(s): Brian Meekins*+ and Clyde Tucker and Paul Biemer
Companies: Bureau of Labor Statistics and Bureau of Labor Statistics and RTI International
Address: 2 Massachusetts Ave, NE, Washington, DC, 20212,
Keywords: Measurement error ; Latent class ; contact history

Previous research by Tucker et al. (2007), working with the Consumer Expenditure Interview Survey (CE), explores the efficacy of measurement error indicators such as: interview length, extent and type of records used, the monthly patterns of reporting, and income question missing in a latent construct. Later research by Tucker, Meekins, and Biemer (2008) extend this latent class model to include indicators of response behavior across multiple interviews in a panel. This research develops a number of plausible models which possess the qualities of reliability and validity, in that they appear to accurately capture measurement error, but prove unable to explain a large amount of the variance associated with expenditure reports. These expenditure reports are the main data collected in the CE. This work extends past research by including the relatively recently recorded indicators from

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