Wiley handbook of web surveys / Jelke Bethlehem, Silvia Biffignandi.

Format:

Book

Author/Creator:

Bethlehem, Jelke G., author.

Contributor:

Biffignandi, Silvia.

ebrary, Inc.

Series:

Wiley handbooks in survey methodology

Language:

English

Subjects (All):

Internet surveys--Handbooks, manuals, etc.

Internet surveys.

Surveys--Handbooks, manuals, etc.

Surveys.

Genre:

Handbooks and manuals.

Physical Description:

1 online resource (xiii, 465 pages) : illustrations.

Other Title:

Handbook of web surveys

Place of Publication:

Hoboken, NJ : Wiley, [2012]

System Details:

text file

Summary:

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 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.

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. Book jacket.

Contents:

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

Key Terms 31

Exercises 33

References 34

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

Key Terms 56

Exercises 56

References 58

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

Key Terms 92

Exercises 93

References 94

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

Key Terms 138

Exercises 140

References 143

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

Key Terms 183

Exercises 185

References 187

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

Key Terms 228

Exercises 229

References 231

7 Mixed-Mode surveys 235

7.1 Introduction 235

7.2 Theory 238

7.2.1 What's 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

Key Terms 274

Exercises 275

References 277

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

Key Terms 299

Exercises 300

References 302

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 from the Internet Population 309

9.2.3 Reducing the Self-Selection Bias 314

9.3 Application 319

9.4 Summary 323

Key Terms 323

Exercises 324

References 326

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

Key Terms 379

Exercises 380

References 383

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

Key Terms 414

Exercises 414

References 416

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.

Notes:

Includes bibliographical references and index.

Electronic reproduction. Palo Alto, Calif. : ebrary, 2013. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.

OCLC:

761319815

Access Restriction:

Restricted for use by site license.