
- English
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eBook - ePub
Nonsampling Error in Social Surveys
About this book
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.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Nonsampling Error in Social Surveys by David E. McNabb in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Halftitle
- Dedication
- Title
- Copyright
- Contents
- List of Boxes
- List of Figures
- List of Tables
- Preface
- About the Author
- PART I: 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 SOCIAL SURVEYS
- 4 Defining and Classifying Nonsampling Error
- 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 of Nonsampling Error Terms
- Appendix B: Standards and Guidelines for Statistical Surveys
- Appendix C: Deming’s 14 Points for Quality
- References and Bibliography
- Index
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