Jelke Bethlehem, Silvia Biffignandi

Handbook of Web Surveys (eBook, ePUB)

• Format: ePub

Produktbeschreibung

BEST PRACTICES TO CREATE AND IMPLEMENTHIGHLY EFFECTIVE WEB SURVEYS Exclusively combining design and sampling issues, Handbook of Web Surveys presents a theoretical yet practical approach to creating and conducting web surveys. From the history of web surveys to various modes of data collection to tips for detecting error, this book thoroughly introduces readers to the this cutting-edge technique and offers tips for creating successful web surveys. The authors provide a history of web surveys and go on to explore the advantages and disadvantages of this mode of data collection. Common challenges involving under-coverage, self-selection, and measurement errors are discussed as well as topics including: * Sampling designs and estimation procedures * Comparing web surveys to face-to-face, telephone, and mail surveys * Errors in web surveys * Mixed-mode surveys * Weighting techniques including post-stratification, generalized regression estimation, and raking ratio estimation * Use of propensity scores to correct bias * Web panels Real-world examples illustrate the discussed concepts, methods, and techniques, with related data freely available on the book's Website. Handbook of Web Surveys is an essential reference for researchers in the fields of government, business, economics, and the social sciences who utilize technology to gather, analyze, and draw results from data. It is also a suitable supplement for survey methods courses at the upper-undergraduate and graduate levels.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 480
• Erscheinungstermin: 26. September 2011
• Englisch
• ISBN-13: 9781118121740
• Artikelnr.: 37343247

Autorenporträt

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. His 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, author of Applied Survey Methods: A Statistical Perspective, and coauthor of Handbook of Nonresponse in Household Surveys, all published by Wiley. Silvia Biffignandi is Professor of Economic and Business Statistics and Director of the Centre for Statistical Analyses and Survey Interviewing (CASI) at the University of Bergamo (Italy). She currently focuses her research in the areas of web surveys, online panels, and official statistics.

Inhaltsangabe

PREFACE xi 1 THE ROAD TO WEB SURVEYS 1 1.1 Introduction
1 1.2 Theory
2 1.2.1 The Everlasting Demand for Statistical Information
2 1.2.2 The Dawn of Sampling Theory
4 1.2.3 Traditional Data Collection
8 1.2.4 The Era of Computer-Assisted Interviewing
10 1.2.5 The Conquest of the Web
12 1.3 Application
21 1.4 Summary
31 2 ABOUT WEB SURVEYS 37 2.1 Introduction
37 2.2 Theory
40 2.2.1 Typical Survey Situations
40 2.2.2 Why On-Line Data Collection?
45 2.2.3 Areas of Application
48 2.2.4 Trends in Web Surveys
50 2.3 Application
52 2.4 Summary
55 3 SAMPLING FOR WEB SURVEYS 59 3.1 Introduction
59 3.2 Theory
60 3.2.1 Target Population
60 3.2.2 Sampling Frames
63 3.2.3 Basic Concepts of Sampling
68 3.2.4 Simple Random Sampling
71 3.2.5 Determining the Sample Size
74 3.2.6 Some Other Sampling Designs
76 3.2.7 Estimation Procedures
82 3.3 Application
87 3.4 Summary
92 4 ERRORS IN WEB SURVEYS 97 4.1 Introduction
97 4.2 Theory
103 4.2.1 Measurement Errors
103 4.2.2 Nonresponse
124 4.3 Application
133 4.3.1 The Safety Monitor
133 4.3.2 Measurement Errors
134 4.3.3 Nonresponse
136 4.4 Summary
138 5 WEB SURVEYS AND OTHER MODES OF DATA COLLECTION 147 5.1 Introduction
147 5.1.1 Modes of Data Collection
147 5.1.2 The Choice of the Modes of Data Collection
149 5.2 Theory
152 5.2.1 Face-To-Face Surveys
152 5.2.2 Telephone surveys
158 5.2.3 Mail Surveys
164 5.2.4 Web surveys
169 5.3 Application
174 5.4 Summary
182 6 DESIGNING A WEB SURVEY QUESTIONNAIRE 189 6.1 Introduction
189 6.2 Theory
191 6.2.1 The Road Map Toward a Web Questionnaire
191 6.2.2 The Language of Questions
197 6.2.3 Answers Types (Response Format)
200 6.2.4 Basic Concepts of Visualization
211 6.2.5 Web Questionnaires and Paradata
217 6.2.6 Trends in Web Questionnaire Design and Visualization
223 6.3 Application
226 6.4 Summary
228 7 MIXED-MODE SURVEYS 235 7.1 Introduction
235 7.2 Theory
238 7.2.1 What is Mixed Mode?
238 7.2.2 Why Mixed Mode?
243 7.2.3 Methodological Issues
248 7.2.4 Mixed Mode for Business Surveys
262 7.2.5 Mixed Mode for Surveys Among Households and Individuals
267 7.3 Application
272 7.4 Summary
274 8 THE PROBLEM OF UNDERCOVERAGE 281 8.1 Introduction
281 8.2 Theory
287 8.2.1 The Internet Population
287 8.2.2 A Random Sample From the Internet Population
288 8.2.3 Reducing the Noncoverage Bias
290 8.2.4 Mixed-Mode Data Collection
294 8.3 Application
295 8.4 Summary
299 9 THE PROBLEM OF SELF-SELECTION 303 9.1 Introduction
303 9.2 Theory
306 9.2.1 Basic Sampling Theory
306 9.2.2 A Self-Selection Sample fromthe Internet Population
309 9.2.3 Reducing the Self-Selection Bias
314 9.3 Application
319 9.4 Summary
323 10 WEIGHTING ADJUSTMENT TECHNIQUES 329 10.1 Introduction
329 10.2 Theory
334 10.2.1 The Concept of Representativity
334 10.2.2 Poststratification
336 10.2.3 Generalized Regression Estimation
349 10.2.4 Raking Ratio Estimation
358 10.2.5 Calibration Estimation
361 10.2.6 Constraining the Values of Weights
362 10.2.7 Correction Using a Reference Survey
363 10.3 Application
372 10.4 Summary
378 11 USE OF RESPONSE PROPENSITIES 385 11.1 Introduction
385 11.2 Theory
389 11.2.1 A Simple Random Sample with Nonresponse
389 11.2.2 A Self-Selection Sample
392 11.2.3 The Response Propensity Definition
393 11.2.4 Models for Response Propensities
394 11.2.5 Correction Methods Based on Response Propensities
401 11.3 Application
406 11.3.1 Generation of the Population
407 11.3.2 Generation of Response Probabilities
408 11.3.3 Generation of the Sample
408 11.3.4 Computation of Response Propensities
408 11.3.5 Matching Response Propensities
409 11.3.6 Estimation of Population Characteristics
411 11.3.7 Evaluating the Results
412 11.3.8 Model Sensitivity
412 11.4 Summary
413 12 WEB PANELS 419 12.1 Introduction
419 12.2 Theory
422 12.2.1 Web Panel Definition and Recruitment
422 12.2.2 Use of Web Panels
426 12.2.3 Web Panel Management
427 12.2.4 Response Rates
432 12.2.5 Representativity
443 12.3 Application
449 12.4 Summary
451 Key Terms
452 Exercises
452 References
454 INDEX 459