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Nonsampling Error in Social Surveys
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Nonsampling Error in Social Surveys



August 2013 | 272 pages | SAGE Publications, Inc
A welcome and much-needed addition to the literature on survey data quality in social research, McNabb’s book examines the most common sources of nonsampling error: frame error; measurement error; response error, nonresponse error, and interviewer error. Offering the only comprehensive and non-technical treatment available, the book’s focus on controlling error shows readers how to eliminate the opportunity for error to occur, and features revealing examples of past and current efforts to control the incidence and effects of nonsampling error. Most importantly, it gives readers the tools they need to understand, identify, address, and prevent the most prevalent and difficult-to-control types of survey errors.

 
Preface
 
About the Author
 
Table of Contents
 
PART I: CONCEPTS AND ISSUES IN NONSAMPLING ERROR RESEARCH
 
1. Issues in Data Quality and Survey Ethics
 
2. Nonsampling Error in Sample Surveys
 
3. The Total Survey Error Paradigm
 
PART II: MAJOR SOURCES OF NONSAMPLING ERROR IN SURVEYS
 
4. Defining and Detecting Nonsampling Error in Sample Surveys
 
5. Frame Error
 
6. Measurement Error
 
7. Response Error
 
8. Nonresponse Error
 
9. Interviewer Error
 
PART III: ERROR CONTROL APPLICATIONS
 
10. Tools for Identifying Nonsampling Error in Survey Data
 
APPENDICES
 
Appendix A: Glossary
 
Appendix B: Standards and Guidelines for Statistical Surveys
 
Appendix C: Deming’s 14-Points for Quality
 
REFERENCES

“Provides the best non-technical introduction to the nonsampling errors I have ever read.”

Dmitriy Poznyak
University Of Cincinnati

“My doctoral students came from a variety of backgrounds. Most of them have little to zero survey research background. The book will serve to ignite class discussion and move it to the highest level.”

Valentin Ekiaka Nzai,
Texas A & M University-Kingsville

Was a good resource for DBA students conducting research.

Dr Mike Guerra
Business Admin Economics Prog, Lincoln University
November 20, 2015
Key features

KEY FEATURES:

  • This broad-scope examination fills a gap in the literature of the field, offering the tools researchers need to detect and prevent nonsampling error in social survey research.
  • A list of discussion questions and key terms at the end of each chapter reinforce concepts and enable readers to check their understanding, as well as push them to become effective social survey researchers.
  • Informative feature boxes in each chapter shed light on important issues and offer an effective way for readers to understand and learn key concepts.
  • Tables and charts feature relevant, state-of-the-art research and data to illustrate the material and enhance the learning experience.

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