Introduction to Survey Sampling
eBook - ePub

Introduction to Survey Sampling

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Introduction to Survey Sampling

About this book

Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required reading for anyone collecting or analyzing survey data. Graham Kalton discusses different types of probability samples, stratification (pre and post), clustering, dual frames, replicates, response, base weights, design effects, and effective sample size. It is a thorough revision and update of the first edition, published more than 35 years ago. Although the concepts of probability sampling are largely the same, there have been important developments in the application of these concepts as research questions have increasingly spanned multiple disciplines, computers have become central to data collection as well as data analysis, and cell phones have become ubiquitous, but response rates have fallen, and public willingness to engage in survey research has waned. While most of the volume focuses on probability samples, there is also a chapter on nonprobability samples, which are becoming increasingly important with the rise of social media and the world wide web.

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Yes, you can access Introduction to Survey Sampling by Graham Kalton 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.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Publisher Note
  5. Title Page
  6. Copyright Page
  7. Brief Contents
  8. Detailed Contents
  9. Series Editor Introduction
  10. Preface
  11. About the Author
  12. Chapter 1 Introduction to Survey Sampling
  13. Chapter 2 Simple Random Sampling
  14. Chapter 3 Systematic Sampling
  15. Chapter 4 Stratification
  16. Chapter 5 Cluster and Multi-Stage Sampling
  17. Chapter 6 Probability Proportional to Size Sampling
  18. Chapter 7 Other Probability Designs
  19. Chapter 8 Sampling Frames
  20. Chapter 9 Nonresponse
  21. Chapter 10 Base Weights
  22. Chapter 11 Compensating for Missing Data
  23. Chapter 12 Variance Estimation
  24. Chapter 13 Sample Size
  25. Chapter 14 Examples of National Probability Sample Designs
  26. Chapter 15 Nonprobability Sampling
  27. Chapter 16 Concluding Remarks
  28. References
  29. Index