{"product_id":"handbook-of-web-surveys-isbn-9781119371687","title":"Handbook of Web Surveys","description":"HANDBOOK OF WEB SURVEYS \u003cp\u003e\u003cb\u003eThe updated, must-have guide for creating and implementing web surveys\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eRevised and thoroughly updated, the second edition of \u003ci\u003eHandbook of Web Surveys\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eThe 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, \u003ci\u003eHandbook of Web Surveys\u003c\/i\u003e discuss the key concepts, methods, and techniques of effective web surveys. This important book:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eContains the most recent sampling designs and estimation procedures\u003c\/li\u003e\n\u003cli\u003eOffers ideas for overcoming errors in web surveys\u003c\/li\u003e\n\u003cli\u003eIncludes information on mixed mode surveys\u003c\/li\u003e\n\u003cli\u003eExplores the concept of response probabilities\u003c\/li\u003e\n\u003cli\u003eReviews all aspects of web panels\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for researchers in government, business, economics, and social scientists, the second edition of \u003ci\u003eHandbook of Web Surveys\u003c\/i\u003e provides an introduction to web surveys and the various methods and techniques. \u003c\/p\u003e\u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 The Road To Web Surveys 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Theory 2\u003c\/p\u003e \u003cp\u003e1.2.1 The Everlasting Demand for Statistical Information 2\u003c\/p\u003e \u003cp\u003e1.2.2 Traditional Data Collection 8\u003c\/p\u003e \u003cp\u003e1.2.3 The Era of Computer-Assisted Interviewing 11\u003c\/p\u003e \u003cp\u003e1.2.4 The Conquest of the Web 13\u003c\/p\u003e \u003cp\u003e1.2.5 Web Surveys and Other Sources 23\u003c\/p\u003e \u003cp\u003e1.2.6 Historic Summary 28\u003c\/p\u003e \u003cp\u003e1.2.7 Present-Day Challenges and Opportunities 28\u003c\/p\u003e \u003cp\u003e1.2.8 Conclusions from Modern-Day Challenges 30\u003c\/p\u003e \u003cp\u003e1.2.9 Thriving in the Modern-Day Survey World 30\u003c\/p\u003e \u003cp\u003e1.3 Application 31\u003c\/p\u003e \u003cp\u003e1.3.1 Blaise 31\u003c\/p\u003e \u003cp\u003e1.4 Summary 39\u003c\/p\u003e \u003cp\u003eKey Terms 41\u003c\/p\u003e \u003cp\u003eExercises 42\u003c\/p\u003e \u003cp\u003eReferences 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 About Web Surveys 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 47\u003c\/p\u003e \u003cp\u003e2.2 Theory 50\u003c\/p\u003e \u003cp\u003e2.2.1 Typical Survey Situations 51\u003c\/p\u003e \u003cp\u003e2.2.2 Why Online Data Collection? 56\u003c\/p\u003e \u003cp\u003e2.2.3 Areas of Application 60\u003c\/p\u003e \u003cp\u003e2.2.4 Trends in Web Surveys 62\u003c\/p\u003e \u003cp\u003e2.3 Application 64\u003c\/p\u003e \u003cp\u003e2.4 Summary 68\u003c\/p\u003e \u003cp\u003eKey Terms 68\u003c\/p\u003e \u003cp\u003eExercises 69\u003c\/p\u003e \u003cp\u003eReferences 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 A Framework For Steps and Errors In Web Surveys 73\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 73\u003c\/p\u003e \u003cp\u003e3.2 Theory 75\u003c\/p\u003e \u003cp\u003e3.3 Application 88\u003c\/p\u003e \u003cp\u003e3.4 Summary 89\u003c\/p\u003e \u003cp\u003eKey Terms 90\u003c\/p\u003e \u003cp\u003eExercises 90\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Sampling For Web Surveys 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 93\u003c\/p\u003e \u003cp\u003e4.2 Theory 95\u003c\/p\u003e \u003cp\u003e4.2.1 Target Population 95\u003c\/p\u003e \u003cp\u003e4.2.2 Sampling Frames 98\u003c\/p\u003e \u003cp\u003e4.2.3 Basic Concepts of Sampling 103\u003c\/p\u003e \u003cp\u003e4.2.4 Simple Random Sampling 106\u003c\/p\u003e \u003cp\u003e4.2.5 Determining the Sample Size 109\u003c\/p\u003e \u003cp\u003e4.2.6 Some Other Sampling Designs 112\u003c\/p\u003e \u003cp\u003e4.2.7 Estimation Procedures 118\u003c\/p\u003e \u003cp\u003e4.3 Application 123\u003c\/p\u003e \u003cp\u003e4.4 Summary 128\u003c\/p\u003e \u003cp\u003eKey Terms 129\u003c\/p\u003e \u003cp\u003eExercises 130\u003c\/p\u003e \u003cp\u003eReferences 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Errors In Web Surveys 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 133\u003c\/p\u003e \u003cp\u003e5.2 Theory 142\u003c\/p\u003e \u003cp\u003e5.2.1 Measurement Errors 142\u003c\/p\u003e \u003cp\u003e5.2.2 Nonresponse 164\u003c\/p\u003e \u003cp\u003e5.3 Application 174\u003c\/p\u003e \u003cp\u003e5.3.1 The Safety Monitor 174\u003c\/p\u003e \u003cp\u003e5.3.2 Measurement Errors 175\u003c\/p\u003e \u003cp\u003e5.3.3 Nonresponse 177\u003c\/p\u003e \u003cp\u003e5.4 Summary 179\u003c\/p\u003e \u003cp\u003eKey Terms 180\u003c\/p\u003e \u003cp\u003eExercises 182\u003c\/p\u003e \u003cp\u003eReferences 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Web Surveys and Other Modes of Data Collection 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 189\u003c\/p\u003e \u003cp\u003e6.1.1 Modes of Data Collection 189\u003c\/p\u003e \u003cp\u003e6.1.2 The Choice of the Modes of Data Collection 190\u003c\/p\u003e \u003cp\u003e6.2 Theory 194\u003c\/p\u003e \u003cp\u003e6.2.1 Face-to-Face Surveys 194\u003c\/p\u003e \u003cp\u003e6.2.2 Telephone Surveys 200\u003c\/p\u003e \u003cp\u003e6.2.3 Mail Surveys 206\u003c\/p\u003e \u003cp\u003e6.2.4 Web Surveys 211\u003c\/p\u003e \u003cp\u003e6.2.5 Mobile Web Surveys 215\u003c\/p\u003e \u003cp\u003e6.3 Application 222\u003c\/p\u003e \u003cp\u003e6.4 Summary 230\u003c\/p\u003e \u003cp\u003eKey Terms 231\u003c\/p\u003e \u003cp\u003eExercises 233\u003c\/p\u003e \u003cp\u003eReferences 235\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Designing A Web Survey Questionnaire 237\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 237\u003c\/p\u003e \u003cp\u003e7.2 Theory 240\u003c\/p\u003e \u003cp\u003e7.2.1 The Road Map Toward a Web Questionnaire 240\u003c\/p\u003e \u003cp\u003e7.2.2 The Language of Questions 249\u003c\/p\u003e \u003cp\u003e7.2.3 Basic Concepts of Visualization 252\u003c\/p\u003e \u003cp\u003e7.2.4 Answers Types (Response Format) 258\u003c\/p\u003e \u003cp\u003e7.2.5 Web Questionnaires and Paradata 271\u003c\/p\u003e \u003cp\u003e7.2.6 Trends in Web Questionnaire Design and Visualization 278\u003c\/p\u003e \u003cp\u003e7.3 Application 281\u003c\/p\u003e \u003cp\u003e7.4 Summary 282\u003c\/p\u003e \u003cp\u003eKey Terms 283\u003c\/p\u003e \u003cp\u003eExercises 284\u003c\/p\u003e \u003cp\u003eReferences 286\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Adaptive and Responsive Design 291\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 291\u003c\/p\u003e \u003cp\u003e8.2 Theory 294\u003c\/p\u003e \u003cp\u003e8.2.1 Terminology 294\u003c\/p\u003e \u003cp\u003e8.2.2 Quality and Cost Functions 298\u003c\/p\u003e \u003cp\u003e8.2.3 Strategy Allocation and Optimization 301\u003c\/p\u003e \u003cp\u003e8.3 Application 309\u003c\/p\u003e \u003cp\u003e8.4 Summary 316\u003c\/p\u003e \u003cp\u003eKey Terms 316\u003c\/p\u003e \u003cp\u003eExercises 317\u003c\/p\u003e \u003cp\u003eReferences 318\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Mixed-Mode Surveys 321\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 321\u003c\/p\u003e \u003cp\u003e9.2 The Theory 326\u003c\/p\u003e \u003cp\u003e9.2.1 What is Mixed-Mode? 326\u003c\/p\u003e \u003cp\u003e9.2.2 Why Mixed-Mode? 334\u003c\/p\u003e \u003cp\u003e9.3 Methodological Issues 343\u003c\/p\u003e \u003cp\u003e9.3.1 Preventing Mode Effects Through Questionnaire Design 346\u003c\/p\u003e \u003cp\u003e9.3.2 How to Mix Modes? 350\u003c\/p\u003e \u003cp\u003e9.3.3 How to Compute Response Rates? 354\u003c\/p\u003e \u003cp\u003e9.3.4 Avoiding and Adjusting Mode Effects for Inference 359\u003c\/p\u003e \u003cp\u003e9.3.5 Mixed-Mode by Businesses and Households 370\u003c\/p\u003e \u003cp\u003e9.4 Application 384\u003c\/p\u003e \u003cp\u003e9.5 Summary 386\u003c\/p\u003e \u003cp\u003eKey Terms 388\u003c\/p\u003e \u003cp\u003eExercises 388\u003c\/p\u003e \u003cp\u003eReferences 390\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 The Problem of Under-Coverage 399\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 399\u003c\/p\u003e \u003cp\u003e10.2 Theory 405\u003c\/p\u003e \u003cp\u003e10.2.1 The Internet Population 405\u003c\/p\u003e \u003cp\u003e10.2.2 A Random Sample from the Internet Population 406\u003c\/p\u003e \u003cp\u003e10.2.3 Reducing the Non-Coverage Bias 410\u003c\/p\u003e \u003cp\u003e10.2.4 Mixed-Mode Data Collection 413\u003c\/p\u003e \u003cp\u003e10.3 Application 414\u003c\/p\u003e \u003cp\u003e10.4 Summary 417\u003c\/p\u003e \u003cp\u003eKey Terms 418\u003c\/p\u003e \u003cp\u003eExercises 419\u003c\/p\u003e \u003cp\u003eReferences 421\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 The Problem of Self-Selection 423\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 423\u003c\/p\u003e \u003cp\u003e11.2 Theory 431\u003c\/p\u003e \u003cp\u003e11.2.1 Basic Sampling Theory 431\u003c\/p\u003e \u003cp\u003e11.2.2 A Self-Selection Sample from the Internet Population 434\u003c\/p\u003e \u003cp\u003e11.2.3 Reducing the Self-Selection Bias 439\u003c\/p\u003e \u003cp\u003e11.3 Applications 444\u003c\/p\u003e \u003cp\u003e11.3.1 Application 1: Simulating Self-Selection Polls 444\u003c\/p\u003e \u003cp\u003e11.3.2 Application 2: Sunday Shopping in Alphen a\/d Rijn 448\u003c\/p\u003e \u003cp\u003e11.4 Summary 451\u003c\/p\u003e \u003cp\u003eKey Terms 452\u003c\/p\u003e \u003cp\u003eExercises 453\u003c\/p\u003e \u003cp\u003eReferences 455\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Weighting Adjustment Techniques 457\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 457\u003c\/p\u003e \u003cp\u003e12.2 Theory 463\u003c\/p\u003e \u003cp\u003e12.2.1 The Concept of Representativity 463\u003c\/p\u003e \u003cp\u003e12.2.2 Post-Stratification 465\u003c\/p\u003e \u003cp\u003e12.2.3 Generalized Regression Estimation 477\u003c\/p\u003e \u003cp\u003e12.2.4 Raking Ratio Estimation 486\u003c\/p\u003e \u003cp\u003e12.2.5 Calibration Estimation 490\u003c\/p\u003e \u003cp\u003e12.2.6 Constraining the Values of Weights 491\u003c\/p\u003e \u003cp\u003e12.2.7 Correction Using a Reference Survey 492\u003c\/p\u003e \u003cp\u003e12.3 Application 500\u003c\/p\u003e \u003cp\u003e12.4 Summary 506\u003c\/p\u003e \u003cp\u003eKey Terms 508\u003c\/p\u003e \u003cp\u003eExercises 509\u003c\/p\u003e \u003cp\u003eReferences 512\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Use of Response Propensities 513\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 513\u003c\/p\u003e \u003cp\u003e13.2 Theory 517\u003c\/p\u003e \u003cp\u003e13.2.1 A Simple Random Sample With Nonresponse 517\u003c\/p\u003e \u003cp\u003e13.2.2 A Self-Selection Sample 520\u003c\/p\u003e \u003cp\u003e13.2.3 The Response Propensity Definition 521\u003c\/p\u003e \u003cp\u003e13.2.4 Models for Response Propensities 522\u003c\/p\u003e \u003cp\u003e13.2.5 Correction Methods Based on Response Propensities 529\u003c\/p\u003e \u003cp\u003e13.3 Application 535\u003c\/p\u003e \u003cp\u003e13.3.1 Generation of the Population 536\u003c\/p\u003e \u003cp\u003e13.3.2 Generation of Response Probabilities 537\u003c\/p\u003e \u003cp\u003e13.3.3 Generation of the Sample 537\u003c\/p\u003e \u003cp\u003e13.3.4 Computation of Response Propensities 537\u003c\/p\u003e \u003cp\u003e13.3.5 Matching Response Propensities 537\u003c\/p\u003e \u003cp\u003e13.3.6 Estimation of Population Characteristics 540\u003c\/p\u003e \u003cp\u003e13.3.7 Evaluating the Results 541\u003c\/p\u003e \u003cp\u003e13.3.8 Model Sensitivity 542\u003c\/p\u003e \u003cp\u003e13.4 Summary 542\u003c\/p\u003e \u003cp\u003eKey Terms 543\u003c\/p\u003e \u003cp\u003eExercises 544\u003c\/p\u003e \u003cp\u003eReferences 546\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Web Panels 549\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 549\u003c\/p\u003e \u003cp\u003e14.2 Theory 555\u003c\/p\u003e \u003cp\u003e14.2.1 Under-Coverage 555\u003c\/p\u003e \u003cp\u003e14.2.2 Recruitment 557\u003c\/p\u003e \u003cp\u003e14.2.3 Nonresponse 563\u003c\/p\u003e \u003cp\u003e14.2.4 Representativity 577\u003c\/p\u003e \u003cp\u003e14.2.5 Weighting Adjustment for Panels 580\u003c\/p\u003e \u003cp\u003e14.2.6 Panel Maintenance 582\u003c\/p\u003e \u003cp\u003e14.3 Applications 585\u003c\/p\u003e \u003cp\u003e14.3.1 Application 1: The Web Panel Pilot of Statistics Netherlands 585\u003c\/p\u003e \u003cp\u003e14.3.2 Application 2: The U.K. Polling Disaster 589\u003c\/p\u003e \u003cp\u003e14.4 Summary 592\u003c\/p\u003e \u003cp\u003eKey Terms 593\u003c\/p\u003e \u003cp\u003eExercises 593\u003c\/p\u003e \u003cp\u003eReferences 595\u003c\/p\u003e \u003cp\u003eIndex 599\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSILVIA BIFFIGNANDI\u003c\/b\u003e is a professor at the Center for Statistics and Analysis of Sample Surveys, University of Bergamo, Bergamo, Italy.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJELKE BETHLEHEM\u003c\/b\u003e is affiliated with Statistics Netherlands, a Division of Methodology and Quality, The Netherlands.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eThe updated, must-have guide for creating and implementing web surveys\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eRevised and thoroughly updated, the second edition of \u003ci\u003eHandbook of Web Surveys\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eThe 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, \u003ci\u003eHandbook of Web Surveys\u003c\/i\u003e discuss the key concepts, methods, and techniques of effective web surveys. This important book:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eContains the most recent sampling designs and estimation procedures\u003c\/li\u003e\n\u003cli\u003eOffers ideas for overcoming errors in web surveys\u003c\/li\u003e\n\u003cli\u003eIncludes information on mixed mode surveys\u003c\/li\u003e\n\u003cli\u003eExplores the concept of response probabilities\u003c\/li\u003e\n\u003cli\u003eReviews all aspects of web panels\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for researchers in government, business, economics, and social scientists, the second edition of \u003ci\u003eHandbook of Web Surveys\u003c\/i\u003e provides an introduction to web surveys and the various methods and techniques.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989344862437,"sku":"NP9781119371687","price":169.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119371687.jpg?v=1761783750","url":"https:\/\/k12savings.com\/es\/products\/handbook-of-web-surveys-isbn-9781119371687","provider":"K12savings","version":"1.0","type":"link"}