Introduction to survey sampling

著者

• Kalton, Graham

書誌事項

Introduction to survey sampling

Graham Kalton

（Sage publications series, . Quantitative applications in the social sciences ; 35）

Sage, c2021

2nd ed

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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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詳細情報

• NII書誌ID(NCID): BB30830879
• ISBN:
  • 9781544338569
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Los Angeles
• ページ数/冊数: xvii, 165 p.
• 大きさ: 22 cm
• 親書誌ID:
  • BA71788007