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E-raamat: Introduction to Survey Sampling

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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.

Arvustused

This book is a second revision of what will continue to be the classic short treatment of the subject. -- Victor Ferreros "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. "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. Im looking forward to using



this 2nd edition in my sampling course!"  -- Ann A. OConnell, Ed.D.

Series Editor Introduction xi
Preface xiii
Acknowledgments xv
About the Author xvii
Chapter 1 Introduction to Survey Sampling
1(8)
Chapter 2 Simple Random Sampling
9(10)
Chapter 3 Systematic Sampling
19(4)
Chapter 4 Stratification
23(12)
Proportionate Stratification
24(4)
Disproportionate Stratification
28(3)
Choice of Strata
31(1)
Poststratification
32(3)
Chapter 5 Cluster and Multi-Stage Sampling
35(10)
Chapter 6 Probability Proportional to Size Sampling
45(10)
Chapter 7 Other Probability Designs
55(16)
Two-Phase Sampling
55(2)
Dual-Frame Sampling
57(2)
Replicated Sampling
59(4)
Studying Nonsampling Errors
59(2)
Estimating Sampling Errors
61(2)
Controlling Sample Size or Cost
63(1)
Designs for Surveys Over Time
63(6)
Responsive and Adaptive Designs
69(2)
Chapter 8 Sampling Frames
71(14)
Missing Elements
72(1)
Clusters
73(3)
Blanks and Foreign Elements
76(1)
Duplicate Listings
77(1)
Unlocatable Listings
78(1)
Address-Based Sampling
78(3)
Sampling for Telephone Surveys
81(4)
Chapter 9 Nonresponse
85(6)
Unit Nonresponse
85(3)
Item Nonresponse
88(3)
Chapter 10 Base Weights
91(6)
Chapter 11 Compensating for Missing Data
97(10)
Nonresponse Weighting Adjustments
97(3)
Calibration Adjustments
100(3)
Imputation
103(4)
Chapter 12 Variance Estimation
107(10)
The Taylor Series Linearization Method
111(1)
Balanced Repeated Replications
111(2)
Jackknife Repeated Replications
113(1)
The Bootstrap
114(1)
Some General Issues
115(2)
Chapter 13 Sample Size
117(6)
Chapter 14 Examples of National Probability Sample Designs
123(12)
National Household Surveys in Sub-Saharan Africa
123(4)
The 2016 American National Election Study
127(3)
The Internet Sample
127(1)
The Face-to-Face Interview Sample
128(2)
The 2017 California Health Interview Survey
130(2)
The American Community Survey
132(3)
Chapter 15 Nonprobability Sampling
135(12)
Quota Sampling
138(1)
Sampling Methods for "Hard-to-Survey" Populations
139(4)
Sampling Methods for Internet Surveys
143(2)
Small-Area Estimation
145(2)
Chapter 16 Concluding Remarks
147(2)
References 149(8)
Index 157