Analyzing Complex Survey Data

ISBN-10: 0761930388
ISBN-13: 9780761930389
Edition: 2nd 2006 (Revised)
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Description: 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  More...

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Book details

Edition: 2nd
Copyright year: 2006
Publisher: SAGE Publications, Incorporated
Publication date: 9/22/2005
Binding: Paperback
Pages: 104
Size: 5.50" wide x 8.25" long x 0.25" tall
Weight: 0.242
Language: English

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
Introduction
Sample Design and Survey Data
Types of Sampling
The Nature of Survey Data
A Different View of Survey Data
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
Strategies for Variance Estimation
Replicated Sampling: A General Approach
Balanced Repeated Replication
Jackknife Repeated Replication
The Bootstrap Method
The Taylor Series Method (Linearization)
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
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
Concluding Remarks
Notes
References
Index
About the Authors

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