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Analyzing Complex Survey Data de Eun Sul Lee

Analyzing Complex Survey Data: Quantitative Applications in the Social Sciences, cartea 71

Autor Eun Sul Lee, Ronald N. Forthofer
en Limba Engleză Paperback – 28 noi 2005
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.
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Specificații

ISBN-13: 9780761930389
ISBN-10: 0761930388
Pagini: 104
Dimensiuni: 140 x 216 x 6 mm
Greutate: 0.16 kg
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

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

Notă biografică

Experience & Interest
Teaching and research in public health (Survey design and analysis in mental health and nutrition, demographic analysis of infant mortality and reproductive health, biostatical and epidemiologic analysis of cancer registry data and environmental surveys, statistical methods in epidemiology)

Descriere

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.