Applied Survey Methods A Statistical Perspective

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Edition: 1st
Format: Hardcover
Pub. Date: 2009-07-07
Publisher(s): Wiley
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Summary

Wiley Series in Survey Methodology Applied Survey Methods A Statistical Perspective Jelke Bethlehem

Author Biography

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.

Table of Contents

Prefacep. ix
The Survey Processp. 1
About Surveysp. 1
A Survey, Step-by-Stepp. 2
Some History of Survey Researchp. 4
This Bookp. 10
Samploniap. 11
Exercisesp. 13
Basic Conceptsp. 15
The Survey Objectivesp. 15
The Target Populationp. 16
The Sampling Framep. 20
Samplingp. 22
Estimationp. 33
Exercisesp. 41
Questionnaire Designp. 43
The Questionnairep. 43
Factual and Nonfactual Questionsp. 44
The Question Textp. 45
Answer Typesp. 50
Question Orderp. 55
Questionnaire Testingp. 58
Exercisesp. 63
Single Sampling Designsp. 65
Simple Random Samplingp. 65
Systematic Samplingp. 75
Unequal Probability Samplingp. 82
Systematic Sampling with Unequal Probabilitiesp. 89
Exercisesp. 96
Composite Sampling Designsp. 100
Stratified Samplingp. 100
Cluster Samplingp. 108
Two-Stage Samplingp. 113
Two-Dimensional Samplingp. 122
Exercisesp. 130
Estimatorsp. 134
Use of Auxiliary Informationp. 134
A Descriptive Modelp. 134
The Direct Estimatorp. 137
The Ratio Estimatorp. 139
The Regression Estimatorp. 143
The Poststratification Estimatorp. 146
Exercisesp. 149
Data Collectionp. 153
Traditional Data Collectionp. 153
Computer-Assisted Interviewingp. 155
Mixed-Mode Data Collectionp. 160
Electronic Questionnairesp. 163
Data Collection with Blaisep. 167
Exercisesp. 176
The Quality of the Resultsp. 178
Errors in Surveysp. 178
Detection and Correction of Errorsp. 181
Imputation Techniquesp. 185
Data Editing Strategiesp. 195
Exercisesp. 206
The Nonresponse Problemp. 209
Nonresponsep. 209
Response Ratesp. 212
Models for Nonresponsep. 218
Analysis of Nonresponsep. 225
Nonresponse Correction Techniquesp. 236
Exercisesp. 245
Weighting Adjustmentp. 249
Introductionp. 249
Poststratificationp. 250
Linear Weightingp. 253
Multiplicative Weightingp. 260
Calibration Estimationp. 263
Other Weighting Issuesp. 264
Use of Propensity Scoresp. 266
A Practical Examplep. 268
Exercisesp. 272
Online Surveysp. 276
The Popularity of Online Researchp. 276
Errors in Online Surveysp. 277
The Theoretical Frameworkp. 283
Correction by Adjustment Weightingp. 288
Correction Using a Reference Surveyp. 293
Sampling the Non-Internet Populationp. 296
Propensity Weightingp. 297
Simulating the Effects of Undercoveragep. 299
Simulating the Effects of Self-Selectionp. 301
About the Use of Online Surveysp. 305
Exercisesp. 307
Analysis and Publicationp. 310
About Data Analysisp. 310
The Analysis of Dirty Datap. 312
Preparing a Survey Reportp. 317
Use of Graphsp. 322
Exercisesp. 339
Statistical Disclosure Controlp. 342
Introductionp. 342
The Basic Disclosure Problemp. 343
The Concept of Uniquenessp. 344
Disclosure Scenariosp. 347
Models for the Disclosure Riskp. 349
Practical Disclosure Protectionp. 353
Exercisesp. 356
Referencesp. 359
Indexp. 369
Table of Contents provided by Ingram. All Rights Reserved.

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