John Wiley & Sons Handbook of Web Surveys Cover HANDBOOK OF WEB SURVEYS The updated, must-have guide for creating and implementing web surveys Rev.. Product #: 978-1-119-37168-7 Regular price: $151.40 $151.40 Auf Lager

Handbook of Web Surveys

Biffignandi, Silvia / Bethlehem, Jelke

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2. Auflage Juni 2021
624 Seiten, Hardcover
Handbuch/Nachschlagewerk

ISBN: 978-1-119-37168-7
John Wiley & Sons

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HANDBOOK OF WEB SURVEYS

The updated, must-have guide for creating and implementing web surveys

Revised and thoroughly updated, the second edition of Handbook of Web Surveys offers a practical and comprehensive guide for creating and conducting effective web surveys. The authors noted experts on the topic, include a review the Blaise system (which has been around for 30 years) and provide information on the most recent developments and techniques in the field. The book illustrates the steps needed to develop effective web surveys and explains how the survey process should be carried out. It also examines the aspects of sampling and presents a number of sampling designs.

The book includes ideas for overcoming possible errors in measurement and nonresponse. The authors also compare the various methods of data collection (face-to-face, telephone, mail, and mobile surveys) and discuss their advantages and disadvantages. Critical information for designing questionnaires for mobile devices is also provided. Filled with real-world examples, Handbook of Web Surveys discuss the key concepts, methods, and techniques of effective web surveys. This important book:
* Contains the most recent sampling designs and estimation procedures
* Offers ideas for overcoming errors in web surveys
* Includes information on mixed mode surveys
* Explores the concept of response probabilities
* Reviews all aspects of web panels

Written for researchers in government, business, economics, and social scientists, the second edition of Handbook of Web Surveys provides an introduction to web surveys and the various methods and techniques.

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 Traditional Data Collection 8

1.2.3 The Era of Computer-Assisted Interviewing 11

1.2.4 The Conquest of the Web 13

1.2.5 Web Surveys and Other Sources 23

1.2.6 Historic Summary 28

1.2.7 Present-Day Challenges and Opportunities 28

1.2.8 Conclusions from Modern-Day Challenges 30

1.2.9 Thriving in the Modern-Day Survey World 30

1.3 Application 31

1.3.1 Blaise 31

1.4 Summary 39

Key Terms 41

Exercises 42

References 44

2 About Web Surveys 47

2.1 Introduction 47

2.2 Theory 50

2.2.1 Typical Survey Situations 51

2.2.2 Why Online Data Collection? 56

2.2.3 Areas of Application 60

2.2.4 Trends in Web Surveys 62

2.3 Application 64

2.4 Summary 68

Key Terms 68

Exercises 69

References 71

3 A Framework For Steps and Errors In Web Surveys 73

3.1 Introduction 73

3.2 Theory 75

3.3 Application 88

3.4 Summary 89

Key Terms 90

Exercises 90

References 91

4 Sampling For Web Surveys 93

4.1 Introduction 93

4.2 Theory 95

4.2.1 Target Population 95

4.2.2 Sampling Frames 98

4.2.3 Basic Concepts of Sampling 103

4.2.4 Simple Random Sampling 106

4.2.5 Determining the Sample Size 109

4.2.6 Some Other Sampling Designs 112

4.2.7 Estimation Procedures 118

4.3 Application 123

4.4 Summary 128

Key Terms 129

Exercises 130

References 131

5 Errors In Web Surveys 133

5.1 Introduction 133

5.2 Theory 142

5.2.1 Measurement Errors 142

5.2.2 Nonresponse 164

5.3 Application 174

5.3.1 The Safety Monitor 174

5.3.2 Measurement Errors 175

5.3.3 Nonresponse 177

5.4 Summary 179

Key Terms 180

Exercises 182

References 185

6 Web Surveys and Other Modes of Data Collection 189

6.1 Introduction 189

6.1.1 Modes of Data Collection 189

6.1.2 The Choice of the Modes of Data Collection 190

6.2 Theory 194

6.2.1 Face-to-Face Surveys 194

6.2.2 Telephone Surveys 200

6.2.3 Mail Surveys 206

6.2.4 Web Surveys 211

6.2.5 Mobile Web Surveys 215

6.3 Application 222

6.4 Summary 230

Key Terms 231

Exercises 233

References 235

7 Designing A Web Survey Questionnaire 237

7.1 Introduction 237

7.2 Theory 240

7.2.1 The Road Map Toward a Web Questionnaire 240

7.2.2 The Language of Questions 249

7.2.3 Basic Concepts of Visualization 252

7.2.4 Answers Types (Response Format) 258

7.2.5 Web Questionnaires and Paradata 271

7.2.6 Trends in Web Questionnaire Design and Visualization 278

7.3 Application 281

7.4 Summary 282

Key Terms 283

Exercises 284

References 286

8 Adaptive and Responsive Design 291

8.1 Introduction 291

8.2 Theory 294

8.2.1 Terminology 294

8.2.2 Quality and Cost Functions 298

8.2.3 Strategy Allocation and Optimization 301

8.3 Application 309

8.4 Summary 316

Key Terms 316

Exercises 317

References 318

9 Mixed-Mode Surveys 321

9.1 Introduction 321

9.2 The Theory 326

9.2.1 What is Mixed-Mode? 326

9.2.2 Why Mixed-Mode? 334

9.3 Methodological Issues 343

9.3.1 Preventing Mode Effects Through Questionnaire Design 346

9.3.2 How to Mix Modes? 350

9.3.3 How to Compute Response Rates? 354

9.3.4 Avoiding and Adjusting Mode Effects for Inference 359

9.3.5 Mixed-Mode by Businesses and Households 370

9.4 Application 384

9.5 Summary 386

Key Terms 388

Exercises 388

References 390

10 The Problem of Under-Coverage 399

10.1 Introduction 399

10.2 Theory 405

10.2.1 The Internet Population 405

10.2.2 A Random Sample from the Internet Population 406

10.2.3 Reducing the Non-Coverage Bias 410

10.2.4 Mixed-Mode Data Collection 413

10.3 Application 414

10.4 Summary 417

Key Terms 418

Exercises 419

References 421

11 The Problem of Self-Selection 423

11.1 Introduction 423

11.2 Theory 431

11.2.1 Basic Sampling Theory 431

11.2.2 A Self-Selection Sample from the Internet Population 434

11.2.3 Reducing the Self-Selection Bias 439

11.3 Applications 444

11.3.1 Application 1: Simulating Self-Selection Polls 444

11.3.2 Application 2: Sunday Shopping in Alphen a/d Rijn 448

11.4 Summary 451

Key Terms 452

Exercises 453

References 455

12 Weighting Adjustment Techniques 457

12.1 Introduction 457

12.2 Theory 463

12.2.1 The Concept of Representativity 463

12.2.2 Post-Stratification 465

12.2.3 Generalized Regression Estimation 477

12.2.4 Raking Ratio Estimation 486

12.2.5 Calibration Estimation 490

12.2.6 Constraining the Values of Weights 491

12.2.7 Correction Using a Reference Survey 492

12.3 Application 500

12.4 Summary 506

Key Terms 508

Exercises 509

References 512

13 Use of Response Propensities 513

13.1 Introduction 513

13.2 Theory 517

13.2.1 A Simple Random Sample With Nonresponse 517

13.2.2 A Self-Selection Sample 520

13.2.3 The Response Propensity Definition 521

13.2.4 Models for Response Propensities 522

13.2.5 Correction Methods Based on Response Propensities 529

13.3 Application 535

13.3.1 Generation of the Population 536

13.3.2 Generation of Response Probabilities 537

13.3.3 Generation of the Sample 537

13.3.4 Computation of Response Propensities 537

13.3.5 Matching Response Propensities 537

13.3.6 Estimation of Population Characteristics 540

13.3.7 Evaluating the Results 541

13.3.8 Model Sensitivity 542

13.4 Summary 542

Key Terms 543

Exercises 544

References 546

14 Web Panels 549

14.1 Introduction 549

14.2 Theory 555

14.2.1 Under-Coverage 555

14.2.2 Recruitment 557

14.2.3 Nonresponse 563

14.2.4 Representativity 577

14.2.5 Weighting Adjustment for Panels 580

14.2.6 Panel Maintenance 582

14.3 Applications 585

14.3.1 Application 1: The Web Panel Pilot of Statistics Netherlands 585

14.3.2 Application 2: The U.K. Polling Disaster 589

14.4 Summary 592

Key Terms 593

Exercises 593

References 595

Index 599
SILVIA BIFFIGNANDI is a professor at the Center for Statistics and Analysis of Sample Surveys, University of Bergamo, Bergamo, Italy.

JELKE BETHLEHEM is affiliated with Statistics Netherlands, a Division of Methodology and Quality, The Netherlands.

J. Bethlehem, Statistics Netherlands