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Introduction to Survey Quality

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ISBN-10: 0471193755

ISBN-13: 9780471193753

Edition: 2003

Authors: Paul P. Biemer, Lars E. Lyberg

List price: $167.00
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Description:

This text provides an introduction to the field of survey measurement quality. It includes reviews of well-established as well as modern principles and concepts in the field, and examines important issues that are still unresolved and being actively pursued.
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Book details

List price: $167.00
Copyright year: 2003
Publisher: John Wiley & Sons, Incorporated
Publication date: 2/24/2003
Binding: Hardcover
Pages: 424
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.540

Preface
The Evolution of Survey Process Quality
The Concept of a Survey
Types of Surveys
Brief History of Survey Methodology
The Quality Revolution
Definitions of Quality and Quality in Statistical Organizations
Measuring Quality
Improving Quality
Quality in a Nutshell
The Survey Process and Data Quality
Overview of the Survey Process
Data Quality and Total Survey Error
Decomposing Nonsampling Error into Its Component Parts
Gauging the Magnitude of Total Survey Error
Mean Squared Error
An Illustration of the Concepts
Coverage and Nonresponse Error
Coverage Error
Measures of Coverage Bias
Reducing Coverage Bias
Unit Nonresponse Error
Calculating Response Rates
Reducing Nonresponse Bias
The Measurement Process and Its Implications for Questionnaire Design
Components of Measurement Error
Errors Arising from the Questionnaire Design
Understanding the Response Process
Errors Due to Interviewers and Interviewing
Role of the Interviewer
Interviewer Variability
Design Factors that Influence Interviewer Effects
Evaluation of Interviewer Performance
Data Collection Modes and Associated Errors
Modes of Data Collection
Decision Regarding Mode
Some Examples of Mode Effects
Data Processing: Errors and Their Control
Overview of Data Processing Steps
Nature of Data Processing Error
Data Capture Errors
Post-Data Capture Editing
Coding
File Preparation
Applications of Continuous Quality Improvement: The Case of Coding
Integration Activities
Overview of Survey Error Evaluation Methods
Purposes of Survey Error Evaluation
Evaluation Methods for Designing and Pretesting Surveys
Methods for Monitoring and Controlling Data Quality
Postsurvey Evaluations
Summary of Evaluation Methods
Sampling Error
Brief History of Sampling
Nonrandom Sampling Methods
Simple Random Sampling
Statistical Inference in the Presence of Nonsampling Errors
Other Methods of Random Sampling
Concluding Remarks
Practical Survey Design for Minimizing Total Survey Error
Balance Between Cost, Survey Error, and Other Quality Features
Planning a Survey for Optimal Quality
Documenting Survey Quality
Organizational Issues Related to Survey Quality
References
Index