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Analyzing Complex Survey Data

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

September 2005 | 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
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
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.

Sage College Publishing

You can purchase this book and request an instructor sample on our US College site:

Go To College Site

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.