Research Catalog

Latent class analysis of survey error / Paul P. Biemer.

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Item details
Status	Format	Access	Call Number	Item Location
Request for On-site Use Request Scan Not available - Please for assistance.	Text	Request in advance	QA275 .B47 2011	Off-site

Description

xix, 387 p. : ill.; 25 cm.

Summary

"This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys"--Provided by publisher.
"This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed"--Provided by publisher.

Series Statement

Wiley series in survey methodology

Subjects

ISBN

LCCN

2010040979

Owning Institutions

Columbia University Libraries