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Chapter 1: Introduction
 
Chapter 2: Simple Random Sampling
 
Chapter 3: Systematic Sampling
 
Chapter 4: Stratification
 
Chapter 5: Cluster and Multistage 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 Samples
 
Chapter 15: Nonprobability Sampling
 
Chapter 16: Concluding Remarks

This book is a second revision of what will continue to be the classic short treatment of the subject.

Victor Ferreros
Walden University

“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.
Duquesne University

“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.
The Ohio State University

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