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· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 확률과 통계 > 일반
· ISBN : 9781119371694
· 쪽수 : 624쪽
목차
1 THE ROAD TO WEB SURVEYS
1. Introduction
2. Theory
1.2.1 Everlasting Demand for Statistical Information
1.2.2 The Dawn of Sampling Theory
1.2.3 Traditional Data Collection
1.2.4 The Era of Computer-Assisted Interviewiing
1.2.5 The Conquest of Web
1.2.6 Toward integration of web sources or to web-multisources
1.3 Application
1.4 Summary
Key Terms
Execises
References
2. ABOUT WEB SURVEYS
2.1 introduction
2.2. Theory
2.2.1 Typical Survey Situation
2.2.2 Why On line Data Collection?
2.2.3 Areas of Application
2.2.4 Trends in Web Surveys
2.3 Application
2.4 Summary
Key Terms
Execises
References
2. A FRAMEWORK FOR STEPS AND ERRORS IN WEB SURVEYS
3.1 Introduction
3.2 Theory
3.2.1 Steps
3.2.2 Steps
3.2.3 Steps
3.2.4 Comments for an expanded framework
3.3 Application
3.4 Summary
Key Terms
Execises
References
4 SAMPLING FOR WEB SURVEYS
4.1 Introduction
4.2 Theory
4.2.1 Target Population
4.2.2 Sampling Frames
4.2.3 Basic Concepts of Sampling
4.2.4 Simple Random Sampling
4.2.5 Determining the Sample Size
4.2.6 Some Other Sampling Designs
4.2.7 Estimation Procedures
4.3 Application
4.4 Summary
Key Terms
Exercises
References
5 ERRORS IN WEB SURVEYS
4.1 Introduction,
4.2 Theory
4.2.1 Measurement Errors
4.2.2 Nonresponse
4.3 Application
4.3.1 The Safety Monitor
4.3.2 Measurement Errors
4.3.3 Nonresponse
4.4 Summary
Key Terms
Exercises
References
6 WEB SURVEYS AND OTHER MODES OF DATA COLLECTION
6.1 Introduction
6.1.1 Modes of Data Collection
6.1.2 The Choice of the Modes of Data Collection
6.2 Theory
6.2.1 Face-To-Face Surveys
6.2.2 Telephone surveys
6.2.3 Mail Surveys
6.2.4 Web surveys
6.2.5 Mobile surveys
6.3 Application
5.4 Summary
Key Terms
Exercises
References
7 DESIGNING A WEB SURVEY QUESTIONNAIRE
7.1 Introduction
7.2 Theory
7.2.1 The Road Map Toward a Web Questionnaire
7.2.2 The Language of Questions
7.2.3 Basic Concepts of Visualization
7.2.4 Aswers types (response format)
7.2.5 Web Questionnaires and Paradata
7.2.6 Trends in Web Questionnaire Design and Visualization
7.3 Application
7.4 Summary
Key Terms
Exercises
References
8 ADAPTIVE AND RESPONSIVE DESIGN
8.1 Introduction,
8.2 Theory
8.2.1 Terminology and rationale
8.2.2 Quality and costs functions
8.2.3 Strategy allocation and optimization
8.3 Application
8.4 Summary
Key Terms
Exercises
References
9 MIXED-MODE SURVEYS
9.1 Introduction,
9.2 Theory
9.2.1 Types of Mixed Mode designs
9.2.2 Mode and device effect
9.2.3 Preventing mode effects through questionnaire design
9.2.4 Avoiding mode effects b data collection design
9.2.5 Adjusting for mode effects
9.3 Application
9.4 Summary
Key Terms
Exercises
References
10 THE PROBLEM OF UNDER-COVERAGE
10.1 Introduction
10.2 Theory
10.2.1 The Internet Population
10.2.2 A Random Sample From the Internet Population
10.2.3 Reducing the Noncoverage Bias
10.2.4 Mixed-Mode Data Collection
10.3 Application
10.4 Summary
Key Terms
Exercises
References
11 THE PROBLEM OF SELF-SELECTION
11.1 Introduction
11.2 Theory,
11.2.1 Basic Sampling Theory
11.2.2 A Self-Selection Sample from the Internet Population
11.2.3 Reducing the Self-Selection Bias
11.3 Application
11.4 Summary
Key Terms
Exercises
References
12 WEIGHTING ADJUSTMENT TECHNIQUES
12.1 Introduction
12.2 Theory
12.2.1 The Concept of Representativity
12.2.2 Poststratification
12.2.3 Generalized Regression Estimation
12.2.4 Raking Ratio Estimation
12.2.5 Calibration Estimation
12.2.6 Constraining the Values of Weights
12.2.7 Correction Using a Reference Survey
12.3 Application
12.4 Summary
Key Terms
Exercises
References
13 USE OF RESPONSE PROPENSITIES
13.1 Introduction
13.2 Theory
13.2.1 A Simple Random Sample with Nonresponse
13.2.2 A Self-Selection Sample
13.2.3 The Response Propensity Definition
13.2.4 Models for Response Propensities
13.2.5 Correction Methods Based on Response Propensities
13.3 Application
13.3.1 Generation of the Population
13.3.2 Generation of Response Probabilities
13.3.3 Generation of the Sample
13.3.4 Computation of Response Propensities
13.3.5 Matching Response Propensities
13.3.6 Estimation of Population Characteristics
13.3.7 Evaluating the Results
13.3.8 Model Sensitivity
13.4 Summary
Key Terms
Exercises
References
14 WEB PANELS
14.1 Introduction
14.2 Theory
14.2.1 Web Panel Definition and Recruitment
14.2.2 Use of Web Panels
14.2.3 Web Panel Management
14.2.4 Response Rates
14.2.5 Representativity
14.3 Application
14.4 Summary
Key Terms
Exercises
References