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Analyzing Complex Survey Data
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Analyzing Complex Survey Data

Second Edition
  • Eun Sul Lee - Oregon Health Sciences University, Portland , USA, University of Texas Health Science Center, Houston, USA
  • Ronald N. Forthofer - University of Texas Health Science Center, Houston, USA


© 2006 | 104 pages | SAGE Publications, Inc
This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical data analysis (logistic regression), reviews new software and provides an introduction to the model-based analysis that can be useful analyzing well-designed, relatively small-scale social surveys. 
 
Series Editor’s Introduction
 
Acknowledgments
 
1. Introduction
 
2. Sample Design and Survey Data
Types of Sampling  
The Nature of Survey Data  
A Different View of Survey Data  
 
3. Complexity of Analyzing Survey Data
Adjusting for Differential Representation: The Weight  
Developing the Weight by Poststratification  
Adjusting the Weight in a Follow-Up Survey  
Assessing the Loss or Gain in Precision: The Design Effect  
The Use of Sample Weights for Survey Data Analysis  
 
4. Strategies for Variance Estimation
Replicated Sampling: A General Approach  
Balanced Repeated Replication  
Jackknife Repeated Replication  
The Bootstrap Method  
The Taylor Series Method (Linearization)  
 
5. Preparing for Survey Data Analysis
Data Requirements for Survey Analysis  
Importance of Preliminary Analysis  
Choices of Method for Variance Estimation  
Available Computing Resources  
Creating Replicate Weights  
Searching for Appropriate Models for Survey Data Analysis  
 
6. Conducting Survey Data Analysis
A Strategy for Conducting Preliminary Analysis  
Conducting Descriptive Analysis  
Conducting Linear Regression Analysis  
Conducting Contingency Table Analysis  
Conducting Logistic Regression Analysis  
Other Logistic Regression Models  
Design-Based and Model-Based Analyses  
 
7. Concluding Remarks
 
Notes
 
References
 
Index
 
About the Authors

Good fit for a doctoral seminar on survey research. An increasingly important topic given the widespread reliance in many fields on secondary data from large, complex surveys.

Professor Gregg VanRyzin
Public Administration Dept, Rutgers University
August 1, 2010
Key features

This edition will update the previous edition by incorporating recent practice and thinking in the field of complex survey data analysis.

The previous edition was published in 1989, and software for complex survey data analysis is now more readily available. Each chapter will provide updated information to introduce newly available software.


For instructors

Review and Desk copies for this title are available digitally via VitalSource.

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