This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by van den Hout, A. Articles by van der Heijden, P. G. M. Search for Related Content Social Bookmarking                   What's this?

The Analysis of Multivariate Misclassified Data With Special Attention to Randomized Response Data

Utrecht University, The Netherlands

Peter G. M. van der Heijden

Utrecht University, The Netherlands

This article discusses log-linear analysis of misclassified categorical data when conditional misclassification probabilities are known. This kind of misclassification occurs when data are collected using a randomized response design. The authors describe the misclassification by a latent class model. Since a latent class model is a log-linear model with one or more categorical latent variables, it is possible to investigate relations between misclassified variables. Methods to fit log-linear models for the latent table are discussed, including an EM algorithm. Attention is given to problems with boundary solutions. The results can also be used in statistical disclosure control when the post-randomization method is applied to protect the privacy of respondents, in epidemiology when specificity and sensitivity are known, and in data mining when privacy is protected by intentional statistical perturbation. Examples are given using randomized response data from a research into social benefit fraud.

Key Words: latent class analysis • log-linear model • misclassification • randomized response • statistical disclosure control

CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				S. Himmelfarb The Multi-Item Randomized Response Technique Sociological Methods Research, May 1, 2008; 36(4): 495 - 514. [Abstract] [PDF]

				M. J. L. F. Cruyff, A. van den Hout, P. G. M. van der Heijden, and U. Bockenholt Log-Linear Randomized-Response Models Taking Self-Protective Response Behavior Into Account Sociological Methods Research, November 1, 2007; 36(2): 266 - 282. [Abstract] [PDF]