Handbook of Web Surveys
(Sprache: Englisch)
HANDBOOK OF WEB SURVEYSThe updated, must-have guide for creating and implementing web surveysRevised and thoroughly updated, the second edition of Handbook of Web Surveys offers a practical and comprehensive guide for creating and conducting effective web...
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HANDBOOK OF WEB SURVEYSThe updated, must-have guide for creating and implementing web surveysRevised 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 devicesis 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 panelsWritten 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.
Inhaltsverzeichnis zu „Handbook of Web Surveys “
1 THE ROAD TO WEB SURVEYS1. Introduction2. Theory1.2.1 Everlasting Demand for Statistical Information1.2.2 The Dawn of Sampling Theory1.2.3 Traditional Data Collection1.2.4 The Era of Computer-Assisted Interviewiing1.2.5 The Conquest of Web1.2.6 Toward integration of web sources or to web-multisources1.3 Application1.4 SummaryKey TermsExecisesReferences2. ABOUT WEB SURVEYS2.1 introduction2.2. Theory2.2.1 Typical Survey Situation2.2.2 Why On line Data Collection?2.2.3 Areas of Application2.2.4 Trends in Web Surveys2.3 Application2.4 SummaryKey TermsExecisesReferences2. A FRAMEWORK FOR STEPS AND ERRORS IN WEB SURVEYS3.1 Introduction3.2 Theory3.2.1 Steps3.2.2 Steps3.2.3 Steps3.2.4 Comments for an expanded framework3.3 Application3.4 SummaryKey TermsExecisesReferences4 SAMPLING FOR WEB SURVEYS4.1 Introduction4.2 Theory4.2.1 Target Population4.2.2 Sampling Frames4.2.3 Basic Concepts of Sampling4.2.4 Simple Random Sampling4.2.5 Determining the Sample Size4.2.6 Some Other Sampling Designs4.2.7 Estimation Procedures4.3 Application4.4 SummaryKey TermsExercisesReferences5 ERRORS IN WEB SURVEYS4.1 Introduction,4.2 Theory4.2.1 Measurement Errors4.2.2 Nonresponse4.3 Application4.3.1 The Safety Monitor4.3.2 Measurement Errors4.3.3 Nonresponse4.4 SummaryKey TermsExercisesReferences6 WEB SURVEYS AND OTHER MODES OF DATA COLLECTION6.1 Introduction6.1.1 Modes of Data Collection6.1.2 The Choice of the Modes of Data Collection6.2 Theory6.2.1 Face-To-Face Surveys6.2.2 Telephone surveys6.2.3 Mail Surveys6.2.4 Web surveys6.2.5 Mobile surveys6.3 Application5.4 SummaryKey TermsExercisesReferences7 DESIGNING A WEB SURVEY QUESTIONNAIRE7.1 Introduction7.2 Theory7.2.1 The Road Map Toward a Web Questionnaire7.2.2 The Language of Questions7.2.3 Basic Concepts of Visualization7.2.4 Aswers types (response format)7.2.5 Web Questionnaires and Paradata7.2.6 Trends in Web Questionnaire Design and Visualization7.3 Application7.4 SummaryKey TermsExercisesReferences8 ADAPTIVE AND RESPONSIVE DESIGN8.1
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Introduction,8.2 Theory8.2.1 Terminology and rationale8.2.2 Quality and costs functions8.2.3 Strategy allocation and optimization8.3 Application8.4 SummaryKey TermsExercisesReferences9 MIXED-MODE SURVEYS9.1 Introduction,9.2 Theory9.2.1 Types of Mixed Mode designs9.2.2 Mode and device effect9.2.3 Preventing mode effects through questionnaire design9.2.4 Avoiding mode effects b data collection design9.2.5 Adjusting for mode effects9.3 Application9.4 SummaryKey TermsExercisesReferences10 THE PROBLEM OF UNDER-COVERAGE10.1 Introduction10.2 Theory10.2.1 The Internet Population10.2.2 A Random Sample From the Internet Population10.2.3 Reducing the Noncoverage Bias10.2.4 Mixed-Mode Data Collection10.3 Application10.4 SummaryKey TermsExercisesReferences11 THE PROBLEM OF SELF-SELECTION11.1 Introduction11.2 Theory,11.2.1 Basic Sampling Theory11.2.2 A Self-Selection Sample from the Internet Population11.2.3 Reducing the Self-Selection Bias11.3 Application11.4 SummaryKey TermsExercisesReferences12 WEIGHTING ADJUSTMENT TECHNIQUES12.1 Introduction12.2 Theory12.2.1 The Concept of Representativity12.2.2 Poststratification12.2.3 Generalized Regression Estimation12.2.4 Raking Ratio Estimation12.2.5 Calibration Estimation12.2.6 Constraining the Values of Weights12.2.7 Correction Using a Reference Survey12.3 Application12.4 SummaryKey TermsExercisesReferences13 USE OF RESPONSE PROPENSITIES13.1 Introduction13.2 Theory13.2.1 A Simple Random Sample with Nonresponse13.2.2 A Self-Selection Sample13.2.3 The Response Propensity Definition13.2.4 Models for Response Propensities13.2.5 Correction Methods Based on Response Propensities13.3 Application13.3.1 Generation of the Population13.3.2 Generation of Response Probabilities13.3.3 Generation of the Sample13.3.4 Computation of Response Propensities13.3.5 Matching Response Propensities13.3.6 Estimation of Population Characteristics13.3.7 Evaluating the Results13.3.8 Model Sensitivity13.4 SummaryKey TermsExercisesReferences14 WEB PANELS14.1 Introduction14.2 Theory14.2.1 Web Panel Definition and Recruitment14.2.2 Use of Web Panels14.2.3 Web Panel Management14.2.4 Response Rates14.2.5 Representativity14.3 Application14.4 SummaryKey TermsExercisesReferences
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Autoren-Porträt von Silvia Biffignandi, Jelke Bethlehem
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.
Bibliographische Angaben
- Autoren: Silvia Biffignandi , Jelke Bethlehem
- 2021, 2. Auflage, 624 Seiten, Maße: 15,8 x 23,3 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 1119371686
- ISBN-13: 9781119371687
- Erscheinungsdatum: 24.06.2021
Sprache:
Englisch
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