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Introduction to Survey Sampling

Introduction to Survey Sampling

Authors
Publisher SAGE Publications Inc
Year 08/07/2020
Pages 184
Version paperback
Readership level College/higher education
Language English
ISBN 9781544338569
Categories Research methods: general
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Book description

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. This book is a second revision of what will continue to be the classic short treatment of the subject. -- Victor Ferreros "A wonderful resource for professionals who utilize survey sampling methodology. It provides indepth


information for readers on ways to improve survey schemes." -- Joseph C. Kush, Ph.D. "This updated edition is a welcome addition to the field of survey sampling. Kalton provides a


concise and accessible approach to the design of complex sample surveys. New or expanded


topics address sampling challenges in an online world, issues of missing data, variance estimation


and adaptations of sampling methods for hard-to-reach populations. I'm looking forward to using


this 2nd edition in my sampling course!" -- Ann A. O'Connell, Ed.D.

Introduction to Survey Sampling

Table of contents

Series Editor Introduction

Preface

Acknowledgments

About the Author

Chapter 1: Introduction to Survey Sampling

Chapter 2: Simple Random Sampling

Chapter 3: Systematic Sampling

Chapter 4: Stratification

Proportionate Stratification

Disproportionate Stratification

Choice of Strata

Poststratification

Chapter 5: Cluster and Multi-Stage Sampling

Chapter 6: Probability Proportional to Size Sampling

Chapter 7: Other Probability Designs

Two-Phase Sampling

Dual-Frame Sampling

Replicated Sampling

Designs for Surveys Over Time

Responsive and Adaptive Designs

Chapter 8: Sampling Frames

Missing Elements

Clusters

Blanks and Foreign Elements

Duplicate Listings

Unlocatable Listings

Address-Based Sampling

Sampling for Telephone Surveys

Chapter 9: Nonresponse

Unit Nonresponse

Item Nonresponse

Chapter 10: Base Weights

Chapter 11: Compensating for Missing Data

Nonresponse Weighting Adjustments

Calibration Adjustments

Imputation

Chapter 12: Variance Estimation

The Taylor Series Linearization Method

Balanced Repeated Replications

Jackknife Repeated Replications

The Bootstrap

Some General Issues

Chapter 13: Sample Size

Chapter 14: Examples of National Probability Sample Designs

National Household Surveys in Sub-Saharan Africa

The 2016 American National Election Study

The 2017 California Health Interview Survey

The American Community Survey

Chapter 15: Nonprobability Sampling

Quota Sampling

Sampling Methods for "Hard-to-Survey" Populations

Sampling Methods for Internet Surveys

Small-Area Estimation

Chapter 16: Concluding Remarks

References

Index

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