Introduction to Survey Sampling

图书简介

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.

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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Introduction to Survey Sampling（Quantitative Applications in the Social Sciences） 调查抽样简介 社会学史

Introduction to Survey Sampling（Quantitative Applications in the Social Sciences）

调查抽样简介
社会学史