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Full Description
Highly recommended by the Journal of Official Statistics, The American Statistician, and other top statistical journals, Applied Survey Data Analysis, Third 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 and second editions, this third edition further 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 procedures.
New to the Third Edition:
Applied Bayesian methods for the analysis of complex sample survey data using available software implementing these methods
State-of-the-art methods and software for the analysis of survey data collected from non-probability samples
Software for modern applications of machine learning techniques to complex sample survey data
A completely revamped website providing code for replicating all the analyses illustrated in the book using Stata, SAS, SPSS, R, Mplus, SUDAAN, WesVar, and IVEware
New end-of-chapter exercises, allowing for practice implementing the methods, including Bayesian analysis exercises
Updated summaries of the newest literature on the analysis of survey data collected from complex samples
An updated review of software packages currently available for the analysis of complex sample survey data
Designed for readers working in a wide array of disciplines who conduct secondary analyses of survey data as part of their applied work, this book continues to provide a practical and accessible guide to the analysis of survey data. Continuing to use an example-driven approach to clearly illustrate analysis methods and software, the third 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 offer the newest code for replicating the examples in other popular software packages on the book's revamped website.
Contents
0. Introduction. 1. Applied Survey Data Analysis: An Overview. 2. Getting to Know the Complex Sample Design. 3. Foundations and Techniques for Estimation and Inference. 4. Preparation for Complex Sample Survey Data Analysis. 5 Descriptive Analysis for Continuous Variables. 6. Categorical Data Analysis. 7. Linear Regression Models. 8. Logistic Regression and Generalized Linear Models for Binary Survey Variables. 9. Generalized Linear Models for Multinomial, Ordinal, and Count Variables. 10. Survival Analysis of Event History Survey Data. 11. Analysis of Longitudinal Complex Sample Survey Data. 12 Imputation of Missing Data: Practical Methods and Applications for Survey Analysts. 13. Advanced Topics in the Analysis of Survey Data.
