Applied Survey Data Analysis  book cover
2nd Edition

Applied Survey Data Analysis

ISBN 9781498761604
Published June 27, 2017 by Chapman and Hall/CRC
590 Pages 46 B/W Illustrations

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Book Description

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software.

Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.

Table of Contents

Applied Survey Data Analysis: An Overview
Getting to Know the Complex Sample Design
Foundations and Techniques for Design-based Estimation and Inference
Preparation for Complex Sample Survey Data Analysis
Descriptive Analysis for Continuous Variables
Categorical Data Analysis
Linear Regression Models
Logistic Regression and Generalized Linear Models for Binary Survey Variables
Generalized Linear Models for Multinomial, Ordinal and Count Variables
Survival Analysis of Event History Survey Data
Analysis of Longitudinal Complex Sample Survey Data
Imputation of Missing Data: Practical Methods and Applications for Survey Analysts
Advanced Topics in the Analysis of Survey Data
Appendix A: Software Overview

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Steve G. Heeringa is a research scientist in the Survey Methodology Program, the director of the Statistical and Research Design Group in the Survey Research Center, and the director of the Summer Institute in Survey Research Techniques at the University of Michigan’s Institute for Social Research.

Brady T. West is a Research Associate Professor in the Survey Research Center at the University of Michigan’s Institute for Social Research. He is also a statistical consultant on the Consulting for Statistics, Computing, and Analytics Research (CSCAR) team at the University of Michigan.

Patricia A. Berglund is a senior research associate in the Youth and Social Indicators Program and Survey Methodology Program in the Survey Research Center at the University of Michigan’s Institute for Social Research.


"Anyone analyzing survey data, even once, should have a copy of this book. The book has something for everyone. It is a solid, yet accessible introduction to analyzing data from complex sample surveys (i.e., those with stratification and clustering), a statistical text of the highest caliber, and a reference for experienced analysts and statisticians. The authors are masterful instructors on the topic, and leaders in the field of survey methodology at the University of Michigan's world-renowned Institute for Social Research and Survey Research Center. Their profound understanding of the topic, and talent for describing it shines through vividly in the text. One of my favorite parts remains section 1.2 "A Brief History of Applied Survey Data Analysis", which is split into "Key Theoretical Developments" and "Key Software Developments". The historical context provided in those sections helps motivate the technical material that follows. My other favorite parts of this book are the presentations of analysis code and output from various programs, and their "Theory Boxes", which tie specific analysis steps and code to the statistical theory behind them. Among the numerous updates to this edition, I think readers will find the new content on model diagnostics and testing goodness-of-fit (GOF) to be extremely helpful, as this is an area of complex sample survey analysis that can be difficult to translate from standard regression analysis. Throughout, the authors make it a point to describe analyses in discrete steps that can help direct even the most complex analyses."
Matt Jans, Senior Associate/Scientist, Abt Associates

"This is an excellent book to use for a graduate level applied statistics course teaching public health students how to analyze complex survey data. Each chapter is clearly written with a nice balance of theoretical background and practical guidance on survey data analytical issues as illustrated by many relevant real-data examples.