Bethlehem Applied Survey Methods

A Statistical Perspective
1. Auflage 2009
ISBN: 978-0-470-49498-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 392 Seiten, E-Book

Reihe: Wiley Series in Survey Methodology

A complete, hands-on guide to the use of statistical methods forobtaining reliable and practical survey research
Applied Survey Methods provides a comprehensive outlineof the complete survey process, from design to publication. Fillinga gap in the current literature, this one-of-a-kind book describesboth the theory and practical applications of survey research withan emphasis on the statistical aspects of survey methods.
The book begins with a brief historic overview of surveyresearch methods followed by a discussion that details the neededfirst steps for carrying out a survey, including the definition ofa target population, the selection of a sampling frame, and theoutline of a questionnaire with several examples that includecommon errors to avoid in the wording of questions. Throughout thebook, the author provides an accessible discussion on themethodological problems that are associated with the surveyprocess, outlining real data and examples while also providinginsight on the future of survey research. Chapter coverage exploresthe various aspects of the survey process and the accompanyingnumerical techniques, including:
* Simple and composite sampling designs
* Estimators
* Data collection and editing
* The quality of results
* The non-response problem
* Weighting adjustments and methods
* Disclosure control
The final chapter addresses the growing popularity of Websurveys, and the associated methodological problems are discussed,including solutions to common pitfalls. Exercises are providedthroughout with selected answers included at the end of the book,while a related Web site features additional solutions to exercisesand a downloadable demo version of the Blaise system ofcomputer-assisted interviewing. Access to the freely availableSimSam software is also available on the related Web site andprovides readers with the tools needed to simulate samples fromfinite populations as well as visualize the effects of sample size,non-response, and the use of different estimation procedures.
Applied Survey Methods is an excellent book for courseson survey research and non-response in surveys at theupper-undergraduate and graduate levels. It is also a usefulreference for practicing statisticians and survey methodologistswho work in both government and private research sectors.

Autoren/Hrsg.

Bethlehem, Jelke

Inhaltsverzeichnis

Preface.
1. The Survey Process.
1.1. About Surveys.
1.2. A Survey, Step-by-Step.
1.3. Some History of Survey Research.
1.4. This Book.
1.5. Samplonia.
Exercises.
2. Basic Concepts.
2.1. The Survey Objectives.
2.2. The Target Population.
2.3. The Sampling Frame.
2.4. Sampling.
2.5. Estimation.
Exercises.
3. Questionnaire Design.
3.1. The Questionnaire.
3.2. Factual and Nonfactual Questions.
3.3. The Question Text.
3.4. Answer Types.
3.5. Question Order.
3.6. Questionnaire Testing.
Exercises.
4. Single Sampling Designs.
4.1. Simple Random Sampling.
4.2. Systematic Sampling.
4.3. Unequal Probability Sampling.
4.4. Systematic Sampling with Unequal Probabilities.
Exercises.
5. Composite Sampling Designs.
5.1. Stratified Sampling.
5.2. Cluster Sampling.
5.3. Two-Stage Sampling.
5.4. Two-Dimensional Sampling.
Exercises.
6. Estimators.
6.1. Use of Auxiliary Information.
6.2. A Descriptive Model.
6.3. The Direct Estimator.
6.4. The Ratio Estimator.
6.5. The Regression Estimator.
6.6. The Poststratification Estimator.
Exercises.
7. Data Collection.
7.1. Traditional Data Collection.
7.2. Computer-Assisted Interviewing.
7.3. Mixed-Mode Data Collection.
7.4. Electronic Questionnaires.
7.5. Data Collection with Blaise.
Exercises.
8. The Quality of the Results.
8.1. Errors in Surveys.
8.2. Detection and Correction of Errors.
8.3. Imputation Techniques.
8.4. Data Editing Strategies.
Exercises.
9. The Nonresponse Problem.
9.1. Nonresponse.
9.2. Response Rates.
9.3. Models for Nonresponse.
9.4. Analysis of Nonresponse.
9.5. Nonresponse Correction Techniques.
Exercises.
10. Weighting Adjustment.
10.1. Introduction.
10.2. Poststratification.
10.3. Linear Weighting.
10.4. Multiplicative Weighting.
10.5. Calibration Estimation.
10.6. Other Weighting Issues.
10.7. Use of Propensity Scores.
10.8. A Practical Example.
Exercises.
11. Online Surveys.
11.1. The Popularity of Online Research.
11.2. Errors in Online Surveys.
11.3. The Theoretical Framework.
11.4. Correction by Adjustment Weighting.
11.5. Correction Using a Reference Survey.
11.6. Sampling the Non-Internet Population.
11.7. Propensity Weighting.
11.8. Simulating the Effects of Undercoverage.
11.9. Simulating the Effects of Self-Selection.
11.10. About the Use of Online Surveys.
Exercises.
12. Analysis and Publication.
12.1. About Data Analysis.
12.2. The Analysis of Dirty Data.
12.3. Preparing a Survey Report.
12.4. Use of Graphs.
Exercises.
13. Statistical Disclosure Control.
13.1. Introduction.
13.2. The Basic Disclosure Problem.
13.3. The Concept of Uniqueness.
13.4. Disclosure Scenarios.
13.5. Models for the Disclosure Risk.
13.6. Practical Disclosure Protection.
Exercises.
References.
Index.

Über Autor(innen)

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.