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

Format:

Book

Author/Creator:

Biemer, Paul P.

Series:

Wiley series in survey methodology.

Wiley series in survey methodology

Language:

English

Subjects (All):

Error analysis (Mathematics).

Sampling (Statistics).

Estimation theory.

Physical Description:

1 online resource (412 p.)

Edition:

1st ed.

Place of Publication:

Hoboken, N.J. : Wiley, 2011.

Language Note:

English

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. 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.

"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.

Contents:

Latent Class Analysis of Survey Error; Contents; Preface; Abbreviations; CHAPTER 1: Survey Error Evaluation; CHAPTER 2: A General Model for Measurement Error; CHAPTER 3: Response Probability Models for Two Measurements; CHAPTER 4: Latent Class Models for Evaluating Classification Errors; CHAPTER 5: Further Aspects of Latent Class Modeling; CHAPTER 6: Latent Class Models for Special Applications; CHAPTER 7: Latent Class Models for Panel Data; CHAPTER 8: Survey Error Evaluation: Past, Present, and Future; APPENDIX A: Two-Stage Sampling Formulas; APPENDIX B: Loglinear Modeling Essentials

ReferencesIndex

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786612884436

9781118099575

1118099575

9781282884434

1282884433

9780470891155

0470891157

9780470891148

0470891149

OCLC:

696568885