Details

Subject(s)

• Sampling (Statistics) [Browse]
• Social surveys [Browse]
• Social sciences—Research—Methodology [Browse]

Series

• Quantitative Applications in the Social Sciences [More in this series]
• Quantitative applications in the social sciences

Summary note

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.

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on publisher supplied metadata and other sources.

Contents

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

Show 26 more Contents items

ISBN

• 9781071909812
• 1071909819
• 9781544338545
• 1544338546
• 9781544338576
• 1544338570
• 9781544338552
• 1544338554

OCLC

1225896045

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