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Applied Survey Data Analysis, Second Edition


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Authors:
Steven G. Heeringa, Brady T. West, and Patricia A. Berglund
Publisher: CRC Press
Copyright: 2017
ISBN-13: 978-1-4987-6160-4
Pages: 568; hardcover
Authors:
Steven G. Heeringa, Brady T. West, and Patricia A. Berglund
Publisher: CRC Press
Copyright: 2017
ISBN-13:
Pages: 568; eBook
Authors:
Steven G. Heeringa, Brady T. West, and Patricia A. Berglund
Publisher: CRC Press
Copyright: 2017
ISBN-13:
Pages: 568; Kindle

Comment from the Stata technical group

Applied Survey Data Analysis, Second Edition is an intermediate-level, example-driven treatment of current methods for complex survey data. It will appeal to researchers of all disciplines who work with survey data and have basic knowledge of applied statistical methodology for standard (nonsurvey) data. Most of the examples in this book include corresponding Stata commands, making it a valuable resource for researchers analyzing complex survey data using Stata.

The authors begin with some history of applied survey data analysis, then discuss some widely used survey datasets, such as the National Health and Nutrition Examination Survey (NHANES). They then proceed to the basic concepts of survey data: sampling plans, weights, clustering, prestratification and poststratification, design effects, and multistage samples. Then they discuss the types of variance estimators: Taylor linearization, jackknife, bootstrap, and balanced repeated replication.

The middle sections of the book provide in-depth coverage of the types of analyses that can be performed with survey data, including means and proportions, correlations, tables, linear regression, logistic regression, multinomial logistic regression, Poisson regression, and survival analysis (including Cox regression). The final three chapters are devoted to advanced topics, such as analysis of longitudinal data, multiple imputation, Bayesian analysis, and structural equation models. The appendix provides overviews of popular statistical software, including Stata.

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