Analyzing Complex Survey Data [Paperback]

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.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.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.Series Editors 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 Anall“Ø