On the validity of Markov latent class analysis for estimating classification error in labor force data - ARCHIVED

Articles and reports: 12-001-X20000025534
Description:

The primary goal of this research is to investigate the validity of Markov latent class analysis (MLCA) estimates of labor force classification error and to evaluate the efficacy of MLC analysis as an alternative to traditional methods for evaluating data quality.

Issue Number: 2000002
Author(s): Biemer, Paul; Bushery, John M.
Main Product: Survey Methodology
Format Release date More information
PDF February 28, 2001