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
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.