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.
Introduction to Survey Sampling