Wiley Series in Survey Methodology Applied Survey Methods A Statistical Perspective Jelke Bethlehem
Jelke Bethlehem, PhD, is Senior Advisor in the Department of Statistical Methods at Statistics Netherlands and Professor of Statistical Information Processing at the University of Amsterdam. Dr. Bethlehem's current research interests include Web surveys, computer-assisted survey information collection, graphical techniques in statistics, and user-friendly software for statistical analysis. He is coeditor of Computer Assisted Survey Information Collection, also published by Wiley.
Preface
p. ix
The Survey Process
p. 1
About Surveys
p. 1
A Survey, Step-by-Step
p. 2
Some History of Survey Research
p. 4
This Book
p. 10
Samplonia
p. 11
Exercises
p. 13
Basic Concepts
p. 15
The Survey Objectives
p. 15
The Target Population
p. 16
The Sampling Frame
p. 20
Sampling
p. 22
Estimation
p. 33
Exercises
p. 41
Questionnaire Design
p. 43
The Questionnaire
p. 43
Factual and Nonfactual Questions
p. 44
The Question Text
p. 45
Answer Types
p. 50
Question Order
p. 55
Questionnaire Testing
p. 58
Exercises
p. 63
Single Sampling Designs
p. 65
Simple Random Sampling
p. 65
Systematic Sampling
p. 75
Unequal Probability Sampling
p. 82
Systematic Sampling with Unequal Probabilities
p. 89
Exercises
p. 96
Composite Sampling Designs
p. 100
Stratified Sampling
p. 100
Cluster Sampling
p. 108
Two-Stage Sampling
p. 113
Two-Dimensional Sampling
p. 122
Exercises
p. 130
Estimators
p. 134
Use of Auxiliary Information
p. 134
A Descriptive Model
p. 134
The Direct Estimator
p. 137
The Ratio Estimator
p. 139
The Regression Estimator
p. 143
The Poststratification Estimator
p. 146
Exercises
p. 149
Data Collection
p. 153
Traditional Data Collection
p. 153
Computer-Assisted Interviewing
p. 155
Mixed-Mode Data Collection
p. 160
Electronic Questionnaires
p. 163
Data Collection with Blaise
p. 167
Exercises
p. 176
The Quality of the Results
p. 178
Errors in Surveys
p. 178
Detection and Correction of Errors
p. 181
Imputation Techniques
p. 185
Data Editing Strategies
p. 195
Exercises
p. 206
The Nonresponse Problem
p. 209
Nonresponse
p. 209
Response Rates
p. 212
Models for Nonresponse
p. 218
Analysis of Nonresponse
p. 225
Nonresponse Correction Techniques
p. 236
Exercises
p. 245
Weighting Adjustment
p. 249
Introduction
p. 249
Poststratification
p. 250
Linear Weighting
p. 253
Multiplicative Weighting
p. 260
Calibration Estimation
p. 263
Other Weighting Issues
p. 264
Use of Propensity Scores
p. 266
A Practical Example
p. 268
Exercises
p. 272
Online Surveys
p. 276
The Popularity of Online Research
p. 276
Errors in Online Surveys
p. 277
The Theoretical Framework
p. 283
Correction by Adjustment Weighting
p. 288
Correction Using a Reference Survey
p. 293
Sampling the Non-Internet Population
p. 296
Propensity Weighting
p. 297
Simulating the Effects of Undercoverage
p. 299
Simulating the Effects of Self-Selection
p. 301
About the Use of Online Surveys
p. 305
Exercises
p. 307
Analysis and Publication
p. 310
About Data Analysis
p. 310
The Analysis of Dirty Data
p. 312
Preparing a Survey Report
p. 317
Use of Graphs
p. 322
Exercises
p. 339
Statistical Disclosure Control
p. 342
Introduction
p. 342
The Basic Disclosure Problem
p. 343
The Concept of Uniqueness
p. 344
Disclosure Scenarios
p. 347
Models for the Disclosure Risk
p. 349
Practical Disclosure Protection
p. 353
Exercises
p. 356
References
p. 359
Index
p. 369
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