Sampling: design and analysis

Cover
Series Page
Title Page
Copyright Page
Contents
Preface
CHAPTER 1 Introduction
	1.1 A Sample Controversy
	1.2 Requirements of a Good Sample
	1.3 Selection Bias
	1.4 Measurement Error
	1.5 Questionnaire Design
	1.6 Sampling and Nonsampling Errors
	1.7 Exercises
CHAPTER 2 Simple Probability Samples
	2.1 Types of Probability Samples
	2.2 Framework for Probability Sampling
	2.3 Simple Random Sampling
	2.4 Sampling Weights
	2.5 Confidence Intervals
	2.6 Sample Size Estimation
	2.7 Systematic Sampling
	2.8 Randomization Theory Results for Simple Random Sampling
	2.9 A Prediction Approach for Simple Random Sampling
	2.10 When Should a Simple Random Sample Be Used?
	2.11 Chapter Summary
	2.12 Exercises
CHAPTER 3 Stratified Sampling
	3.1 What Is Stratified Sampling?
	3.2 Theory of Stratified Sampling
	3.3 Sampling Weights in Stratified Random Sampling
	3.4 Allocating Observations to Strata
	3.5 Defining Strata
	3.6 Model-Based Inference for Stratified Sampling
	3.7 Quota Sampling
	3.8 Chapter Summary
	3.9 Exercises
CHAPTER 4 Ratio and Regression Estimation
	4.1 Ratio Estimation in a Simple Random Sample
	4.2 Estimation in Domains
	4.3 Regression Estimation in Simple Random Sampling
	4.4 Poststratification
	4.5 Ratio Estimation with Stratified Samples
	4.6 Model-Based Theory for Ratio and Regression Estimation
	4.7 Chapter Summary
	4.8 Exercises
CHAPTER 5 Cluster Sampling with Equal Probabilities
	5.1 Notation for Cluster Sampling
	5.2 One-Stage Cluster Sampling
	5.3 Two-Stage Cluster Sampling
	5.4 Designing a Cluster Sample
	5.5 Systematic Sampling
	5.6 Model-Based Inference in Cluster Sampling
	5.7 Chapter Summary
	5.8 Exercises
CHAPTER 6 Sampling with Unequal Probabilities
	6.1 Sampling One Primary Sampling Unit
	6.2 One-Stage Sampling with Replacement
	6.3 Two-Stage Sampling with Replacement
	6.4 Unequal-Probability Sampling Without Replacement
	6.5 Examples of Unequal-Probability Samples
	6.6 Randomization Theory Results and Proofs
	6.7 Models and Unequal-Probability Sampling
	6.8 Chapter Summary
	6.9 Exercises
CHAPTER 7 Complex Surveys
	7.1 Assembling Design Components
	7.2 Sampling Weights
	7.3 Estimating a Distribution Function
	7.4 Plotting Data from a Complex Survey
	7.5 Design Effects
	7.6 The National Crime Victimization Survey
	7.7 Sampling and Design of Experiments
	7.8 Chapter Summary
	7.9 Exercises
CHAPTER 8 Nonresponse
	8.1 Effects of Ignoring Nonresponse
	8.2 Designing Surveys to Reduce Nonsampling Errors
	8.3 Callbacks and Two-Phase Sampling
	8.4 Mechanisms for Nonresponse
	8.5 Weighting Methods for Nonresponse
	8.6 Imputation
	8.7 Parametric Models for Nonresponse
	8.8 What Is an Acceptable Response Rate?
	8.9 Chapter Summary
	8.10 Exercises
CHAPTER 9 Variance Estimation in Complex Surveys
	9.1 Linearization (Taylor Series) Methods
	9.2 Random Group Methods
	9.3 Resampling and Replication Methods
	9.4 Generalized Variance Functions
	9.5 Confidence Intervals
	9.6 Chapter Summary
	9.7 Exercises
CHAPTER 10 Categorical Data Analysis in Complex Surveys
	10.1 Chi-Square Tests with Multinomial Sampling
	10.2 Effects of Survey Design on Chi-Square Tests
	10.3 Corrections to χ[sup(2)] Tests
	10.4 Loglinear Models
	10.5 Chapter Summary
	10.6 Exercises
CHAPTER 11 Regression with Complex Survey Data
	11.1 Model-Based Regression in Simple Random Samples
	11.2 Regression in Complex Surveys
	11.3 Using Regression to Compare Domain Means
	11.4 Should Weights Be Used in Regression?
	11.5 Mixed Models for Cluster Samples
	11.6 Logistic Regression
	11.7 Generalized Regression Estimation for Population Totals
	11.8 Chapter Summary
	11.9 Exercises
CHAPTER 12 Two-Phase Sampling
	12.1 Theory for Two-Phase Sampling
	12.2 Two-Phase Sampling with Stratification
	12.3 Ratio and Regression Estimation in Two-Phase Samples
	12.4 Jackknife Variance Estimation for Two-Phase Sampling
	12.5 Designing a Two-Phase Sample
	12.6 Chapter Summary
	12.7 Exercises
CHAPTER 13 Estimating Population Size
	13.1 Capture–Recapture Estimation
	13.2 Multiple Recapture Estimation
	13.3 Chapter Summary
	13.4 Exercises
CHAPTER 14 Rare Populations and Small Area Estimation
	14.1 Sampling Rare Populations
	14.2 Small Area Estimation
	14.3 Chapter Summary
	14.4 Exercises
CHAPTER 15 Survey Quality
	15.1 Coverage Error
	15.2 Nonresponse Error
	15.3 Measurement Error
	15.4 Sensitive Questions
	15.5 Processing Error
	15.6 Total Survey Quality
	15.7 Chapter Summary
	15.8 Exercises
APPENDIX A: Probability Concepts Used in Sampling
	A.1 Probability
	A.2 Random Variables and Expected Value
	A.3 Conditional Probability
	A.4 Conditional Expectation
References
Author Index
Subject Index