This book provides an 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 examples the analysis of survey data.

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.